Dataset statistics
| Number of variables | 68 |
|---|---|
| Number of observations | 329 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 177.4 KiB |
| Average record size in memory | 552.0 B |
Variable types
| Numeric | 26 |
|---|---|
| Text | 14 |
| Categorical | 14 |
| DateTime | 1 |
| Boolean | 3 |
| Unsupported | 10 |
id is highly overall correlated with host_id | High correlation |
host_id is highly overall correlated with id | High correlation |
host_listings_count is highly overall correlated with host_total_listings_count and 2 other fields | High correlation |
host_total_listings_count is highly overall correlated with host_listings_count and 2 other fields | High correlation |
latitude is highly overall correlated with longitude and 2 other fields | High correlation |
longitude is highly overall correlated with latitude and 2 other fields | High correlation |
minimum_nights is highly overall correlated with minimum_minimum_nights and 2 other fields | High correlation |
maximum_nights is highly overall correlated with minimum_maximum_nights and 2 other fields | High correlation |
minimum_minimum_nights is highly overall correlated with minimum_nights and 2 other fields | High correlation |
maximum_minimum_nights is highly overall correlated with minimum_nights and 2 other fields | High correlation |
minimum_maximum_nights is highly overall correlated with maximum_nights and 2 other fields | High correlation |
maximum_maximum_nights is highly overall correlated with maximum_nights and 2 other fields | High correlation |
minimum_nights_avg_ntm is highly overall correlated with minimum_nights and 2 other fields | High correlation |
maximum_nights_avg_ntm is highly overall correlated with maximum_nights and 2 other fields | High correlation |
availability_30 is highly overall correlated with availability_60 and 2 other fields | High correlation |
availability_60 is highly overall correlated with availability_30 and 2 other fields | High correlation |
availability_90 is highly overall correlated with availability_30 and 3 other fields | High correlation |
availability_365 is highly overall correlated with availability_30 and 3 other fields | High correlation |
number_of_reviews is highly overall correlated with number_of_reviews_ltm and 1 other fields | High correlation |
number_of_reviews_ltm is highly overall correlated with number_of_reviews and 1 other fields | High correlation |
number_of_reviews_l30d is highly overall correlated with number_of_reviews and 1 other fields | High correlation |
calculated_host_listings_count is highly overall correlated with host_listings_count and 2 other fields | High correlation |
calculated_host_listings_count_entire_homes is highly overall correlated with host_listings_count and 2 other fields | High correlation |
calculated_host_listings_count_private_rooms is highly overall correlated with room_type | High correlation |
last_scraped is highly overall correlated with neighbourhood_cleansed and 1 other fields | High correlation |
source is highly overall correlated with availability_90 and 2 other fields | High correlation |
host_response_time is highly overall correlated with host_response_rate | High correlation |
host_response_rate is highly overall correlated with host_response_time | High correlation |
host_neighbourhood is highly overall correlated with latitude and 3 other fields | High correlation |
neighbourhood is highly overall correlated with host_neighbourhood | High correlation |
neighbourhood_cleansed is highly overall correlated with latitude and 4 other fields | High correlation |
property_type is highly overall correlated with room_type | High correlation |
room_type is highly overall correlated with calculated_host_listings_count_private_rooms and 2 other fields | High correlation |
bathrooms_text is highly overall correlated with room_type | High correlation |
has_availability is highly overall correlated with source | High correlation |
calendar_last_scraped is highly overall correlated with last_scraped and 1 other fields | High correlation |
source is highly imbalanced (59.1%) | Imbalance |
host_location is highly imbalanced (77.0%) | Imbalance |
host_response_rate is highly imbalanced (53.5%) | Imbalance |
host_verifications is highly imbalanced (67.3%) | Imbalance |
neighbourhood is highly imbalanced (58.1%) | Imbalance |
has_availability is highly imbalanced (77.4%) | Imbalance |
id has unique values | Unique |
listing_url has unique values | Unique |
picture_url has unique values | Unique |
amenities has unique values | Unique |
bedrooms is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
beds is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
review_scores_rating is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
review_scores_accuracy is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
review_scores_cleanliness is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
review_scores_checkin is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
review_scores_communication is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
review_scores_location is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
review_scores_value is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
reviews_per_month is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
availability_30 has 74 (22.5%) zeros | Zeros |
availability_60 has 58 (17.6%) zeros | Zeros |
availability_90 has 48 (14.6%) zeros | Zeros |
availability_365 has 30 (9.1%) zeros | Zeros |
number_of_reviews has 26 (7.9%) zeros | Zeros |
number_of_reviews_ltm has 104 (31.6%) zeros | Zeros |
number_of_reviews_l30d has 232 (70.5%) zeros | Zeros |
calculated_host_listings_count_entire_homes has 73 (22.2%) zeros | Zeros |
calculated_host_listings_count_private_rooms has 206 (62.6%) zeros | Zeros |
Reproduction
| Analysis started | 2023-10-26 23:54:05.804116 |
|---|---|
| Analysis finished | 2023-10-26 23:55:53.958207 |
| Duration | 1 minute and 48.15 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
id
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 329 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 516654.22 |
| Minimum | 17878 |
|---|---|
| Maximum | 1016312 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 17878 |
|---|---|
| 5-th percentile | 88629.2 |
| Q1 | 271975 |
| median | 480220 |
| Q3 | 824102 |
| 95-th percentile | 919852.6 |
| Maximum | 1016312 |
| Range | 998434 |
| Interquartile range (IQR) | 552127 |
Descriptive statistics
| Standard deviation | 297688.34 |
|---|---|
| Coefficient of variation (CV) | 0.57618485 |
| Kurtosis | -1.4415651 |
| Mean | 516654.22 |
| Median Absolute Deviation (MAD) | 278746 |
| Skewness | 0.087265999 |
| Sum | 1.6997924 × 108 |
| Variance | 8.8618346 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 231497 | 1 | 0.3% |
| 786496 | 1 | 0.3% |
| 584211 | 1 | 0.3% |
| 579704 | 1 | 0.3% |
| 579448 | 1 | 0.3% |
| 772144 | 1 | 0.3% |
| 770452 | 1 | 0.3% |
| 769674 | 1 | 0.3% |
| 573086 | 1 | 0.3% |
| 571163 | 1 | 0.3% |
| Other values (319) | 319 |
| Value | Count | Frequency (%) |
| 17878 | 1 | |
| 25026 | 1 | |
| 35764 | 1 | |
| 48901 | 1 | |
| 49179 | 1 | |
| 53533 | 1 | |
| 60718 | 1 | |
| 65546 | 1 | |
| 66797 | 1 | |
| 70080 | 1 |
| Value | Count | Frequency (%) |
| 1016312 | 1 | |
| 1013191 | 1 | |
| 1008537 | 1 | |
| 1003267 | 1 | |
| 1002666 | 1 | |
| 1001426 | 1 | |
| 999231 | 1 | |
| 996602 | 1 | |
| 993755 | 1 | |
| 984062 | 1 |
listing_url
Text
UNIQUE
| Distinct | 329 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 36 |
|---|---|
| Median length | 35 |
| Mean length | 34.942249 |
| Min length | 34 |
Characters and Unicode
| Total characters | 11496 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 329 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | https://www.airbnb.com/rooms/231497 |
|---|---|
| 2nd row | https://www.airbnb.com/rooms/231516 |
| 3rd row | https://www.airbnb.com/rooms/236991 |
| 4th row | https://www.airbnb.com/rooms/17878 |
| 5th row | https://www.airbnb.com/rooms/25026 |
| Value | Count | Frequency (%) |
| https://www.airbnb.com/rooms/231497 | 1 | 0.3% |
| https://www.airbnb.com/rooms/256323 | 1 | 0.3% |
| https://www.airbnb.com/rooms/17878 | 1 | 0.3% |
| https://www.airbnb.com/rooms/25026 | 1 | 0.3% |
| https://www.airbnb.com/rooms/238802 | 1 | 0.3% |
| https://www.airbnb.com/rooms/239531 | 1 | 0.3% |
| https://www.airbnb.com/rooms/35764 | 1 | 0.3% |
| https://www.airbnb.com/rooms/245951 | 1 | 0.3% |
| https://www.airbnb.com/rooms/247052 | 1 | 0.3% |
| https://www.airbnb.com/rooms/48901 | 1 | 0.3% |
| Other values (319) | 319 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 1316 | 11.4% |
| o | 987 | 8.6% |
| w | 987 | 8.6% |
| b | 658 | 5.7% |
| m | 658 | 5.7% |
| s | 658 | 5.7% |
| . | 658 | 5.7% |
| t | 658 | 5.7% |
| r | 658 | 5.7% |
| h | 329 | 2.9% |
| Other values (16) | 3929 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 7238 | |
| Other Punctuation | 2303 | 20.0% |
| Decimal Number | 1955 | 17.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 987 | |
| w | 987 | |
| b | 658 | |
| m | 658 | |
| s | 658 | |
| t | 658 | |
| r | 658 | |
| h | 329 | 4.5% |
| n | 329 | 4.5% |
| c | 329 | 4.5% |
| Other values (3) | 987 |
Decimal Number
| Value | Count | Frequency (%) |
| 8 | 223 | |
| 7 | 219 | |
| 1 | 205 | |
| 3 | 199 | |
| 2 | 194 | |
| 0 | 193 | |
| 9 | 187 | |
| 6 | 185 | |
| 5 | 176 | |
| 4 | 174 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 1316 | |
| . | 658 | |
| : | 329 | 14.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7238 | |
| Common | 4258 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| / | 1316 | |
| . | 658 | |
| : | 329 | 7.7% |
| 8 | 223 | 5.2% |
| 7 | 219 | 5.1% |
| 1 | 205 | 4.8% |
| 3 | 199 | 4.7% |
| 2 | 194 | 4.6% |
| 0 | 193 | 4.5% |
| 9 | 187 | 4.4% |
| Other values (3) | 535 |
Latin
| Value | Count | Frequency (%) |
| o | 987 | |
| w | 987 | |
| b | 658 | |
| m | 658 | |
| s | 658 | |
| t | 658 | |
| r | 658 | |
| h | 329 | 4.5% |
| n | 329 | 4.5% |
| c | 329 | 4.5% |
| Other values (3) | 987 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11496 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 1316 | 11.4% |
| o | 987 | 8.6% |
| w | 987 | 8.6% |
| b | 658 | 5.7% |
| m | 658 | 5.7% |
| s | 658 | 5.7% |
| . | 658 | 5.7% |
| t | 658 | 5.7% |
| r | 658 | 5.7% |
| h | 329 | 2.9% |
| Other values (16) | 3929 |
last_scraped
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| 2023-09-22 | |
|---|---|
| 2023-09-23 |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 3290 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2023-09-22 |
|---|---|
| 2nd row | 2023-09-22 |
| 3rd row | 2023-09-23 |
| 4th row | 2023-09-23 |
| 5th row | 2023-09-22 |
Common Values
| Value | Count | Frequency (%) |
| 2023-09-22 | 219 | |
| 2023-09-23 | 110 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2023-09-22 | 219 | |
| 2023-09-23 | 110 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| - | 658 | |
| 3 | 439 | 13.3% |
| 9 | 329 | 10.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2632 | |
| Dash Punctuation | 658 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| 3 | 439 | 16.7% |
| 9 | 329 | 12.5% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 658 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3290 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| - | 658 | |
| 3 | 439 | 13.3% |
| 9 | 329 | 10.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3290 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| - | 658 | |
| 3 | 439 | 13.3% |
| 9 | 329 | 10.0% |
source
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| city scrape | |
|---|---|
| previous scrape | 27 |
Length
| Max length | 15 |
|---|---|
| Median length | 11 |
| Mean length | 11.328267 |
| Min length | 11 |
Characters and Unicode
| Total characters | 3727 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | city scrape |
|---|---|
| 2nd row | city scrape |
| 3rd row | city scrape |
| 4th row | city scrape |
| 5th row | city scrape |
Common Values
| Value | Count | Frequency (%) |
| city scrape | 302 | |
| previous scrape | 27 | 8.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| scrape | 329 | |
| city | 302 | |
| previous | 27 | 4.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| c | 631 | |
| s | 356 | |
| r | 356 | |
| p | 356 | |
| e | 356 | |
| i | 329 | |
| 329 | ||
| a | 329 | |
| t | 302 | |
| y | 302 | |
| Other values (3) | 81 | 2.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3398 | |
| Space Separator | 329 | 8.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| c | 631 | |
| s | 356 | |
| r | 356 | |
| p | 356 | |
| e | 356 | |
| i | 329 | |
| a | 329 | |
| t | 302 | |
| y | 302 | |
| v | 27 | 0.8% |
| Other values (2) | 54 | 1.6% |
Space Separator
| Value | Count | Frequency (%) |
| 329 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3398 | |
| Common | 329 | 8.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| c | 631 | |
| s | 356 | |
| r | 356 | |
| p | 356 | |
| e | 356 | |
| i | 329 | |
| a | 329 | |
| t | 302 | |
| y | 302 | |
| v | 27 | 0.8% |
| Other values (2) | 54 | 1.6% |
Common
| Value | Count | Frequency (%) |
| 329 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3727 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| c | 631 | |
| s | 356 | |
| r | 356 | |
| p | 356 | |
| e | 356 | |
| i | 329 | |
| 329 | ||
| a | 329 | |
| t | 302 | |
| y | 302 | |
| Other values (3) | 81 | 2.2% |
name
Text
| Distinct | 292 |
|---|---|
| Distinct (%) | 88.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 83 |
|---|---|
| Median length | 74 |
| Mean length | 65.468085 |
| Min length | 42 |
Characters and Unicode
| Total characters | 21539 |
|---|---|
| Distinct characters | 54 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 3 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 267 ? |
|---|---|
| Unique (%) | 81.2% |
Sample
| 1st row | Rental unit in Rio de Janeiro · ★4.73 · 1 bedroom · 1 bed · 1 bath |
|---|---|
| 2nd row | Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed |
| 3rd row | Rental unit in Rio de Janeiro · ★4.89 · 1 bedroom · 4 beds · 1 bath |
| 4th row | Condo in Rio de Janeiro · ★4.70 · 2 bedrooms · 2 beds · 1 bath |
| 5th row | Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed · 1 bath |
| Value | Count | Frequency (%) |
| · | 1259 | |
| 1 | 498 | 9.3% |
| in | 329 | 6.1% |
| rio | 311 | 5.8% |
| de | 293 | 5.4% |
| janeiro | 293 | 5.4% |
| rental | 250 | 4.6% |
| unit | 250 | 4.6% |
| 2 | 225 | 4.2% |
| beds | 215 | 4.0% |
| Other values (125) | 1455 |
Most occurring characters
| Value | Count | Frequency (%) |
| 5052 | ||
| e | 1612 | 7.5% |
| o | 1350 | 6.3% |
| · | 1259 | 5.8% |
| i | 1226 | 5.7% |
| n | 1165 | 5.4% |
| d | 1015 | 4.7% |
| a | 1001 | 4.6% |
| b | 975 | 4.5% |
| t | 891 | 4.1% |
| Other values (44) | 5993 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 11791 | |
| Space Separator | 5052 | |
| Decimal Number | 1842 | 8.6% |
| Other Punctuation | 1595 | 7.4% |
| Uppercase Letter | 975 | 4.5% |
| Other Symbol | 281 | 1.3% |
| Dash Punctuation | 3 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1612 | |
| o | 1350 | |
| i | 1226 | |
| n | 1165 | |
| d | 1015 | |
| a | 1001 | |
| b | 975 | |
| t | 891 | |
| r | 681 | |
| s | 514 | 4.4% |
| Other values (14) | 1361 |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 561 | |
| J | 294 | |
| H | 37 | 3.8% |
| C | 30 | 3.1% |
| S | 24 | 2.5% |
| L | 9 | 0.9% |
| G | 5 | 0.5% |
| B | 4 | 0.4% |
| T | 3 | 0.3% |
| D | 2 | 0.2% |
| Other values (4) | 6 | 0.6% |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 569 | |
| 4 | 339 | |
| 2 | 264 | |
| 5 | 139 | 7.5% |
| 3 | 113 | 6.1% |
| 7 | 111 | 6.0% |
| 8 | 107 | 5.8% |
| 9 | 72 | 3.9% |
| 6 | 71 | 3.9% |
| 0 | 57 | 3.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| · | 1259 | |
| . | 335 | 21.0% |
| / | 1 | 0.1% |
Space Separator
| Value | Count | Frequency (%) |
| 5052 |
Other Symbol
| Value | Count | Frequency (%) |
| ★ | 281 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 3 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12766 | |
| Common | 8773 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1612 | |
| o | 1350 | |
| i | 1226 | |
| n | 1165 | |
| d | 1015 | |
| a | 1001 | |
| b | 975 | |
| t | 891 | 7.0% |
| r | 681 | 5.3% |
| R | 561 | 4.4% |
| Other values (28) | 2289 |
Common
| Value | Count | Frequency (%) |
| 5052 | ||
| · | 1259 | 14.4% |
| 1 | 569 | 6.5% |
| 4 | 339 | 3.9% |
| . | 335 | 3.8% |
| ★ | 281 | 3.2% |
| 2 | 264 | 3.0% |
| 5 | 139 | 1.6% |
| 3 | 113 | 1.3% |
| 7 | 111 | 1.3% |
| Other values (6) | 311 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 19996 | |
| None | 1262 | 5.9% |
| Misc Symbols | 281 | 1.3% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 5052 | ||
| e | 1612 | 8.1% |
| o | 1350 | 6.8% |
| i | 1226 | 6.1% |
| n | 1165 | 5.8% |
| d | 1015 | 5.1% |
| a | 1001 | 5.0% |
| b | 975 | 4.9% |
| t | 891 | 4.5% |
| r | 681 | 3.4% |
| Other values (40) | 5028 |
None
| Value | Count | Frequency (%) |
| · | 1259 | |
| á | 2 | 0.2% |
| ç | 1 | 0.1% |
Misc Symbols
| Value | Count | Frequency (%) |
| ★ | 281 |
description
Text
| Distinct | 328 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 955 |
|---|---|
| Median length | 897 |
| Mean length | 827.70517 |
| Min length | 6 |
Characters and Unicode
| Total characters | 272315 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 327 ? |
|---|---|
| Unique (%) | 99.4% |
Sample
| 1st row | this is a big studio at the end of copacabana walking distance to arpoador and ipanema which can accomodate persons in a double bed and another on couches which can be opened to sleep onclose to commercial area and public transportationthe spacespacious flat with double bed air conditioner tv linen ceiling fan small kitchen and bathroom there is also sofabed which can accommodate more people for an additional charge of us each hour doorman walking distance to ipanema the flat is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you also have means of transport to anywhere in rio buses subway theres is a subway station two blocks away from the flat and taxis you are very close to the fortress of copacabana a main touristic attraction where you ha |
|---|---|
| 2nd row | special location of the building on copacabana beach although the apartment does not have an ocean view but its great for people who love the sea and for the ones staying for new years accomodates up to personsthe spacespacious apartment with one bedroom comfortable double bed air conditioner tv linenlivingroom with a double sofabed more people can be accommodated small kitchen bathroom ceiling fans hour doorman walking distance to ipanema the building is on copacabana beach but the apartment does not have bech view its at the back of the building facing the street behindthe apartment is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you are very close to the fortress of copacabana a main tourist attraction where you have the most fantastic view of the famous copacab |
| 3rd row | aconchegante amplo bsico arejado iluminado com luz natural em prdio seguro e familiar prdio com portaria horas e cameras de segurana em todos os andares do edifcio tudo isto em copacabana a quase quadra do mar o segundo prdio da segunda quadra da praia est localizado na av prado junior quase esquina com av nsra de copacabanathe spaceo apartamento possui moblia bsica mas a necessria para voce se sentir em um espao limpo confortvel e aconchegante tambm tem os eletrodomesticos bsicos que no podem faltar em um apto como microondas cafeteira eltrica mquina de lavar fogo tv e geladeira todos a volts e um guardaroupas grande onde voc pode colocar suas malas roupas e pertences na sala h uma mesa com cadeiras um sof cama casal tipo fouton no quarto uma cama box de casal ortobom master pocket de molas ensacadas e camas de solteiro uma delas ortobom e bicama o apto tambm tem ar condicionado e ventil |
| 4th row | please note that elevated rates applies for new years and carnival price depends on length of stay and number of people generally i prefer a stay for week or more and a maximum of people at the most contact me and we will discuss bright and sunny large balcony square meters high speed wifi up to mb smart tv you can watch netflix etc if you have an account h doorman minute to walk to copacabana beach silent split air conditioning best spot in riothe space beautiful sunny bedroom square meters in h doorman building min to walk to copacabana beach spacious living room bedrooms with fullsize beds each sleeps large balcony which looks out on pedestrian street no traffic priceless in rio apts with sea view are noisy because of traffic split air condition in each room almost silent like in a hotel smart t |
| 5th row | fully renovated in dec new kitchen new bathroom new flooring o apto foi todo renovado piso banheiro e cozinha novos em dez se vc nao tem opiniario no airbnb e nunca usou antes por favor mande mensagem antes falando quem vc our apartment is a little gem everyone loves staying there best location blocks to the subway blocks to the beach close to bars restaurants supermarkets subway wifi cable tv air con and fanthe spacethis newly renovated studio fully renovated dec is in the best location of copacabana situated on a quieter street but just off the main streets right in the middle of everything blocks from the beach block from the subway cantagalo station which places you just a stop away from ipanema you can just walk there too no need to hop on the subway really very close to all local bars and restaurants and very close to ipanema and lagoa walking dis |
| Value | Count | Frequency (%) |
| the | 1942 | 4.3% |
| and | 1626 | 3.6% |
| a | 1165 | 2.6% |
| in | 814 | 1.8% |
| to | 783 | 1.7% |
| de | 755 | 1.7% |
| of | 751 | 1.7% |
| with | 745 | 1.7% |
| is | 559 | 1.2% |
| e | 534 | 1.2% |
| Other values (5853) | 35200 |
Most occurring characters
| Value | Count | Frequency (%) |
| 47758 | ||
| e | 25088 | 9.2% |
| a | 24754 | 9.1% |
| o | 20033 | 7.4% |
| t | 17641 | 6.5% |
| i | 15581 | 5.7% |
| r | 15087 | 5.5% |
| n | 14683 | 5.4% |
| s | 13801 | 5.1% |
| c | 9254 | 3.4% |
| Other values (18) | 68635 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 224538 | |
| Space Separator | 47777 | 17.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 25088 | |
| a | 24754 | |
| o | 20033 | 8.9% |
| t | 17641 | 7.9% |
| i | 15581 | 6.9% |
| r | 15087 | 6.7% |
| n | 14683 | 6.5% |
| s | 13801 | 6.1% |
| c | 9254 | 4.1% |
| d | 8881 | 4.0% |
| Other values (16) | 59735 |
Space Separator
| Value | Count | Frequency (%) |
| 47758 | ||
| 19 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 224538 | |
| Common | 47777 | 17.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 25088 | |
| a | 24754 | |
| o | 20033 | 8.9% |
| t | 17641 | 7.9% |
| i | 15581 | 6.9% |
| r | 15087 | 6.7% |
| n | 14683 | 6.5% |
| s | 13801 | 6.1% |
| c | 9254 | 4.1% |
| d | 8881 | 4.0% |
| Other values (16) | 59735 |
Common
| Value | Count | Frequency (%) |
| 47758 | ||
| 19 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 272296 | |
| None | 19 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 47758 | ||
| e | 25088 | 9.2% |
| a | 24754 | 9.1% |
| o | 20033 | 7.4% |
| t | 17641 | 6.5% |
| i | 15581 | 5.7% |
| r | 15087 | 5.5% |
| n | 14683 | 5.4% |
| s | 13801 | 5.1% |
| c | 9254 | 3.4% |
| Other values (17) | 68616 |
None
| Value | Count | Frequency (%) |
| 19 |
| Distinct | 172 |
|---|---|
| Distinct (%) | 52.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 1000 |
|---|---|
| Median length | 909 |
| Mean length | 192.25228 |
| Min length | 7 |
Characters and Unicode
| Total characters | 63251 |
|---|---|
| Distinct characters | 108 |
| Distinct categories | 16 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 5 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 164 ? |
|---|---|
| Unique (%) | 49.8% |
Sample
| 1st row | no_info |
|---|---|
| 2nd row | no_info |
| 3rd row | Copacabana, apelidada a princesinha do mar, faz juz ao apelido.<br />Além de possuir uma das praias mais famosas e charmosas do Rio de Janeiro fornece ao turista ampla estrutura com variedade de restaurantes, agências de turismos, casas de câmbio, supermercados, drogarias, e a poucos passos um grande shopping (Rio Sul) e etc. |
| 4th row | This is the one of the bests spots in Rio. Because of the large balcony and proximity to the beach, it has huge advantages in the current situation. |
| 5th row | Copacabana is a lively neighborhood and the apartment is located very close to an area in Copa full of bars, cafes and restaurants at Rua Bolivar and Domingos Ferreira. Copacabana never sleeps, there is always movement and it's a great mix of all kinds of people. |
| Value | Count | Frequency (%) |
| the | 519 | 4.9% |
| and | 308 | 2.9% |
| a | 247 | 2.3% |
| of | 229 | 2.2% |
| is | 174 | 1.7% |
| de | 160 | 1.5% |
| in | 156 | 1.5% |
| to | 152 | 1.4% |
| no_info | 149 | 1.4% |
| e | 147 | 1.4% |
| Other values (2316) | 8294 |
Most occurring characters
| Value | Count | Frequency (%) |
| 10282 | ||
| a | 5605 | 8.9% |
| e | 5217 | 8.2% |
| o | 4264 | 6.7% |
| t | 3588 | 5.7% |
| r | 3483 | 5.5% |
| i | 3380 | 5.3% |
| n | 3273 | 5.2% |
| s | 3190 | 5.0% |
| d | 1750 | 2.8% |
| Other values (98) | 19219 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 47665 | |
| Space Separator | 10288 | 16.3% |
| Uppercase Letter | 2263 | 3.6% |
| Other Punctuation | 1933 | 3.1% |
| Math Symbol | 444 | 0.7% |
| Decimal Number | 291 | 0.5% |
| Connector Punctuation | 151 | 0.2% |
| Dash Punctuation | 77 | 0.1% |
| Open Punctuation | 55 | 0.1% |
| Close Punctuation | 54 | 0.1% |
| Other values (6) | 30 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 5605 | |
| e | 5217 | |
| o | 4264 | 8.9% |
| t | 3588 | 7.5% |
| r | 3483 | 7.3% |
| i | 3380 | 7.1% |
| n | 3273 | 6.9% |
| s | 3190 | 6.7% |
| d | 1750 | 3.7% |
| h | 1633 | 3.4% |
| Other values (29) | 12282 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 241 | 10.6% |
| R | 213 | 9.4% |
| S | 196 | 8.7% |
| A | 188 | 8.3% |
| T | 180 | 8.0% |
| I | 147 | 6.5% |
| B | 135 | 6.0% |
| P | 102 | 4.5% |
| L | 96 | 4.2% |
| E | 95 | 4.2% |
| Other values (20) | 670 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 887 | |
| . | 571 | |
| / | 250 | 12.9% |
| " | 61 | 3.2% |
| ' | 56 | 2.9% |
| ! | 55 | 2.8% |
| : | 41 | 2.1% |
| ; | 5 | 0.3% |
| ? | 4 | 0.2% |
| # | 2 | 0.1% |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 72 | |
| 1 | 51 | |
| 0 | 49 | |
| 4 | 39 | |
| 5 | 26 | 8.9% |
| 3 | 19 | 6.5% |
| 6 | 11 | 3.8% |
| 7 | 9 | 3.1% |
| 8 | 8 | 2.7% |
| 9 | 7 | 2.4% |
Space Separator
| Value | Count | Frequency (%) |
| 10282 | ||
| 6 | 0.1% |
Math Symbol
| Value | Count | Frequency (%) |
| < | 222 | |
| > | 222 |
Modifier Symbol
| Value | Count | Frequency (%) |
| ´ | 6 | |
| ` | 1 | 14.3% |
Other Symbol
| Value | Count | Frequency (%) |
| ♡ | 6 | |
| ► | 3 |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 5 | |
| ” | 1 | 16.7% |
Initial Punctuation
| Value | Count | Frequency (%) |
| “ | 1 | |
| ‘ | 1 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 151 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 77 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 55 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 54 |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 5 |
Other Letter
| Value | Count | Frequency (%) |
| º | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 49929 | |
| Common | 13322 | 21.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 5605 | 11.2% |
| e | 5217 | 10.4% |
| o | 4264 | 8.5% |
| t | 3588 | 7.2% |
| r | 3483 | 7.0% |
| i | 3380 | 6.8% |
| n | 3273 | 6.6% |
| s | 3190 | 6.4% |
| d | 1750 | 3.5% |
| h | 1633 | 3.3% |
| Other values (60) | 14546 |
Common
| Value | Count | Frequency (%) |
| 10282 | ||
| , | 887 | 6.7% |
| . | 571 | 4.3% |
| / | 250 | 1.9% |
| < | 222 | 1.7% |
| > | 222 | 1.7% |
| _ | 151 | 1.1% |
| - | 77 | 0.6% |
| 2 | 72 | 0.5% |
| " | 61 | 0.5% |
| Other values (28) | 527 | 4.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 62755 | |
| None | 479 | 0.8% |
| Punctuation | 8 | < 0.1% |
| Misc Symbols | 6 | < 0.1% |
| Geometric Shapes | 3 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 10282 | ||
| a | 5605 | 8.9% |
| e | 5217 | 8.3% |
| o | 4264 | 6.8% |
| t | 3588 | 5.7% |
| r | 3483 | 5.6% |
| i | 3380 | 5.4% |
| n | 3273 | 5.2% |
| s | 3190 | 5.1% |
| d | 1750 | 2.8% |
| Other values (72) | 18723 |
None
| Value | Count | Frequency (%) |
| é | 115 | |
| á | 70 | |
| ã | 64 | |
| ç | 52 | |
| ó | 33 | 6.9% |
| ê | 28 | 5.8% |
| í | 24 | 5.0% |
| â | 19 | 4.0% |
| ú | 18 | 3.8% |
| ô | 13 | 2.7% |
| Other values (10) | 43 | 9.0% |
Misc Symbols
| Value | Count | Frequency (%) |
| ♡ | 6 |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 5 | |
| ” | 1 | 12.5% |
| “ | 1 | 12.5% |
| ‘ | 1 | 12.5% |
Geometric Shapes
| Value | Count | Frequency (%) |
| ► | 3 |
picture_url
Text
UNIQUE
| Distinct | 329 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 111 |
|---|---|
| Median length | 110 |
| Mean length | 71.18541 |
| Min length | 61 |
Characters and Unicode
| Total characters | 23420 |
|---|---|
| Distinct characters | 36 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 329 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | https://a0.muscache.com/pictures/3582382/ee8acc55_original.jpg |
|---|---|
| 2nd row | https://a0.muscache.com/pictures/3671683/d74b44a4_original.jpg |
| 3rd row | https://a0.muscache.com/pictures/5725a59b-147d-4bf2-99f2-ba67f55ee770.jpg |
| 4th row | https://a0.muscache.com/pictures/65320518/30698f38_original.jpg |
| 5th row | https://a0.muscache.com/pictures/a745aa21-b8dd-4959-a040-eb8e6e6f07ee.jpg |
| Value | Count | Frequency (%) |
| https://a0.muscache.com/pictures/3582382/ee8acc55_original.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/24037968/24789906_original.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/65320518/30698f38_original.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/a745aa21-b8dd-4959-a040-eb8e6e6f07ee.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/46b95cc9-d4d6-4a90-b444-5ddaf9ecca11.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/12451384/18c18103_original.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/23782972/1d3e55b0_original.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/41861094/4e098c3e_original.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/10711212/bf31590d_original.jpg | 1 | 0.3% |
| https://a0.muscache.com/pictures/95d13a3a-e5a6-4d48-b286-e929387fe945.jpg | 1 | 0.3% |
| Other values (319) | 319 |
Most occurring characters
| Value | Count | Frequency (%) |
| c | 1670 | 7.1% |
| / | 1627 | 6.9% |
| a | 1313 | 5.6% |
| s | 1066 | 4.6% |
| e | 1065 | 4.5% |
| t | 1037 | 4.4% |
| p | 1003 | 4.3% |
| . | 987 | 4.2% |
| i | 867 | 3.7% |
| 0 | 864 | 3.7% |
| Other values (26) | 11921 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13799 | |
| Decimal Number | 5825 | |
| Other Punctuation | 2943 | 12.6% |
| Dash Punctuation | 626 | 2.7% |
| Connector Punctuation | 185 | 0.8% |
| Uppercase Letter | 42 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| c | 1670 | |
| a | 1313 | 9.5% |
| s | 1066 | 7.7% |
| e | 1065 | 7.7% |
| t | 1037 | 7.5% |
| p | 1003 | 7.3% |
| i | 867 | 6.3% |
| m | 687 | 5.0% |
| h | 666 | 4.8% |
| u | 658 | 4.8% |
| Other values (10) | 3767 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 864 | |
| 4 | 622 | |
| 1 | 606 | |
| 6 | 560 | |
| 2 | 548 | |
| 9 | 546 | |
| 3 | 540 | |
| 8 | 538 | |
| 7 | 511 | |
| 5 | 490 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 1627 | |
| . | 987 | |
| : | 329 | 11.2% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 626 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 185 |
Uppercase Letter
| Value | Count | Frequency (%) |
| H | 42 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 13841 | |
| Common | 9579 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| c | 1670 | |
| a | 1313 | 9.5% |
| s | 1066 | 7.7% |
| e | 1065 | 7.7% |
| t | 1037 | 7.5% |
| p | 1003 | 7.2% |
| i | 867 | 6.3% |
| m | 687 | 5.0% |
| h | 666 | 4.8% |
| u | 658 | 4.8% |
| Other values (11) | 3809 |
Common
| Value | Count | Frequency (%) |
| / | 1627 | |
| . | 987 | |
| 0 | 864 | |
| - | 626 | 6.5% |
| 4 | 622 | 6.5% |
| 1 | 606 | 6.3% |
| 6 | 560 | 5.8% |
| 2 | 548 | 5.7% |
| 9 | 546 | 5.7% |
| 3 | 540 | 5.6% |
| Other values (5) | 2053 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 23420 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| c | 1670 | 7.1% |
| / | 1627 | 6.9% |
| a | 1313 | 5.6% |
| s | 1066 | 4.6% |
| e | 1065 | 4.5% |
| t | 1037 | 4.4% |
| p | 1003 | 4.3% |
| . | 987 | 4.2% |
| i | 867 | 3.7% |
| 0 | 864 | 3.7% |
| Other values (26) | 11921 |
host_id
Real number (ℝ)
HIGH CORRELATION
| Distinct | 254 |
|---|---|
| Distinct (%) | 77.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2199124.9 |
| Minimum | 68997 |
|---|---|
| Maximum | 9709135 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 68997 |
|---|---|
| 5-th percentile | 332425.2 |
| Q1 | 792218 |
| median | 1648634 |
| Q3 | 3528095 |
| 95-th percentile | 4941560 |
| Maximum | 9709135 |
| Range | 9640138 |
| Interquartile range (IQR) | 2735877 |
Descriptive statistics
| Standard deviation | 1661614.5 |
|---|---|
| Coefficient of variation (CV) | 0.75557985 |
| Kurtosis | 0.33437021 |
| Mean | 2199124.9 |
| Median Absolute Deviation (MAD) | 1031301 |
| Skewness | 0.88552385 |
| Sum | 7.235121 × 108 |
| Variance | 2.7609626 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 792218 | 8 | 2.4% |
| 1429181 | 7 | 2.1% |
| 1648634 | 5 | 1.5% |
| 449677 | 5 | 1.5% |
| 1603206 | 4 | 1.2% |
| 406989 | 4 | 1.2% |
| 1207700 | 3 | 0.9% |
| 829630 | 3 | 0.9% |
| 4581272 | 3 | 0.9% |
| 4060449 | 3 | 0.9% |
| Other values (244) | 284 |
| Value | Count | Frequency (%) |
| 68997 | 1 | |
| 70933 | 1 | |
| 102840 | 1 | |
| 110002 | 1 | |
| 132230 | 2 | |
| 153691 | 1 | |
| 222884 | 1 | |
| 224192 | 1 | |
| 235496 | 1 | |
| 249191 | 1 |
| Value | Count | Frequency (%) |
| 9709135 | 1 | |
| 7506316 | 1 | |
| 6005451 | 1 | |
| 5592796 | 1 | |
| 5573690 | 1 | |
| 5516776 | 1 | |
| 5513776 | 1 | |
| 5506834 | 1 | |
| 5491791 | 1 | |
| 5475732 | 1 |
host_url
Text
| Distinct | 254 |
|---|---|
| Distinct (%) | 77.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 41 |
|---|---|
| Median length | 41 |
| Mean length | 40.68693 |
| Min length | 39 |
Characters and Unicode
| Total characters | 13386 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 211 ? |
|---|---|
| Unique (%) | 64.1% |
Sample
| 1st row | https://www.airbnb.com/users/show/1207700 |
|---|---|
| 2nd row | https://www.airbnb.com/users/show/1207700 |
| 3rd row | https://www.airbnb.com/users/show/1241662 |
| 4th row | https://www.airbnb.com/users/show/68997 |
| 5th row | https://www.airbnb.com/users/show/102840 |
| Value | Count | Frequency (%) |
| https://www.airbnb.com/users/show/792218 | 8 | 2.4% |
| https://www.airbnb.com/users/show/1429181 | 7 | 2.1% |
| https://www.airbnb.com/users/show/1648634 | 5 | 1.5% |
| https://www.airbnb.com/users/show/449677 | 5 | 1.5% |
| https://www.airbnb.com/users/show/1603206 | 4 | 1.2% |
| https://www.airbnb.com/users/show/406989 | 4 | 1.2% |
| https://www.airbnb.com/users/show/500892 | 3 | 0.9% |
| https://www.airbnb.com/users/show/3524822 | 3 | 0.9% |
| https://www.airbnb.com/users/show/4941560 | 3 | 0.9% |
| https://www.airbnb.com/users/show/2112725 | 3 | 0.9% |
| Other values (244) | 284 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 1645 | 12.3% |
| s | 1316 | 9.8% |
| w | 1316 | 9.8% |
| h | 658 | 4.9% |
| r | 658 | 4.9% |
| t | 658 | 4.9% |
| b | 658 | 4.9% |
| o | 658 | 4.9% |
| . | 658 | 4.9% |
| a | 329 | 2.5% |
| Other values (18) | 4832 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 8554 | |
| Other Punctuation | 2632 | 19.7% |
| Decimal Number | 2200 | 16.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 1316 | |
| w | 1316 | |
| h | 658 | 7.7% |
| r | 658 | 7.7% |
| t | 658 | 7.7% |
| b | 658 | 7.7% |
| o | 658 | 7.7% |
| a | 329 | 3.8% |
| p | 329 | 3.8% |
| i | 329 | 3.8% |
| Other values (5) | 1645 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 288 | |
| 4 | 276 | |
| 2 | 261 | |
| 6 | 220 | |
| 9 | 214 | |
| 8 | 206 | |
| 3 | 195 | |
| 5 | 193 | |
| 7 | 175 | |
| 0 | 172 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 1645 | |
| . | 658 | 25.0% |
| : | 329 | 12.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 8554 | |
| Common | 4832 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 1316 | |
| w | 1316 | |
| h | 658 | 7.7% |
| r | 658 | 7.7% |
| t | 658 | 7.7% |
| b | 658 | 7.7% |
| o | 658 | 7.7% |
| a | 329 | 3.8% |
| p | 329 | 3.8% |
| i | 329 | 3.8% |
| Other values (5) | 1645 |
Common
| Value | Count | Frequency (%) |
| / | 1645 | |
| . | 658 | 13.6% |
| : | 329 | 6.8% |
| 1 | 288 | 6.0% |
| 4 | 276 | 5.7% |
| 2 | 261 | 5.4% |
| 6 | 220 | 4.6% |
| 9 | 214 | 4.4% |
| 8 | 206 | 4.3% |
| 3 | 195 | 4.0% |
| Other values (3) | 540 | 11.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13386 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 1645 | 12.3% |
| s | 1316 | 9.8% |
| w | 1316 | 9.8% |
| h | 658 | 4.9% |
| r | 658 | 4.9% |
| t | 658 | 4.9% |
| b | 658 | 4.9% |
| o | 658 | 4.9% |
| . | 658 | 4.9% |
| a | 329 | 2.5% |
| Other values (18) | 4832 |
host_name
Text
| Distinct | 216 |
|---|---|
| Distinct (%) | 65.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 24 |
|---|---|
| Median length | 18 |
| Mean length | 7.3039514 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2403 |
|---|---|
| Distinct characters | 60 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 155 ? |
|---|---|
| Unique (%) | 47.1% |
Sample
| 1st row | Maria Luiza |
|---|---|
| 2nd row | Maria Luiza |
| 3rd row | Nilda |
| 4th row | Matthias |
| 5th row | Viviane |
| Value | Count | Frequency (%) |
| maria | 13 | 3.2% |
| 12 | 3.0% | |
| levy | 8 | 2.0% |
| samuel | 7 | 1.7% |
| jose | 5 | 1.2% |
| renato | 5 | 1.2% |
| louri | 5 | 1.2% |
| rafael | 5 | 1.2% |
| monica | 5 | 1.2% |
| carlos | 5 | 1.2% |
| Other values (224) | 336 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 366 | |
| i | 225 | 9.4% |
| e | 201 | 8.4% |
| o | 155 | 6.5% |
| r | 153 | 6.4% |
| l | 142 | 5.9% |
| n | 140 | 5.8% |
| s | 93 | 3.9% |
| 79 | 3.3% | |
| u | 73 | 3.0% |
| Other values (50) | 776 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1914 | |
| Uppercase Letter | 390 | 16.2% |
| Space Separator | 79 | 3.3% |
| Other Punctuation | 12 | 0.5% |
| Decimal Number | 8 | 0.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 366 | |
| i | 225 | |
| e | 201 | |
| o | 155 | |
| r | 153 | |
| l | 142 | 7.4% |
| n | 140 | 7.3% |
| s | 93 | 4.9% |
| u | 73 | 3.8% |
| t | 59 | 3.1% |
| Other values (20) | 307 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 51 | |
| R | 41 | |
| C | 36 | 9.2% |
| L | 36 | 9.2% |
| S | 27 | 6.9% |
| A | 25 | 6.4% |
| J | 22 | 5.6% |
| D | 21 | 5.4% |
| G | 19 | 4.9% |
| E | 16 | 4.1% |
| Other values (14) | 96 |
Other Punctuation
| Value | Count | Frequency (%) |
| & | 6 | |
| / | 5 | |
| , | 1 | 8.3% |
Decimal Number
| Value | Count | Frequency (%) |
| 8 | 4 | |
| 4 | 4 |
Space Separator
| Value | Count | Frequency (%) |
| 79 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2304 | |
| Common | 99 | 4.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 366 | |
| i | 225 | 9.8% |
| e | 201 | 8.7% |
| o | 155 | 6.7% |
| r | 153 | 6.6% |
| l | 142 | 6.2% |
| n | 140 | 6.1% |
| s | 93 | 4.0% |
| u | 73 | 3.2% |
| t | 59 | 2.6% |
| Other values (44) | 697 |
Common
| Value | Count | Frequency (%) |
| 79 | ||
| & | 6 | 6.1% |
| / | 5 | 5.1% |
| 8 | 4 | 4.0% |
| 4 | 4 | 4.0% |
| , | 1 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2383 | |
| None | 20 | 0.8% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 366 | |
| i | 225 | 9.4% |
| e | 201 | 8.4% |
| o | 155 | 6.5% |
| r | 153 | 6.4% |
| l | 142 | 6.0% |
| n | 140 | 5.9% |
| s | 93 | 3.9% |
| 79 | 3.3% | |
| u | 73 | 3.1% |
| Other values (43) | 756 |
None
| Value | Count | Frequency (%) |
| é | 9 | |
| ã | 3 | 15.0% |
| É | 3 | 15.0% |
| á | 2 | 10.0% |
| ç | 1 | 5.0% |
| â | 1 | 5.0% |
| ê | 1 | 5.0% |
host_since
Date
| Distinct | 216 |
|---|---|
| Distinct (%) | 65.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| Minimum | 2010-01-08 00:00:00 |
|---|---|
| Maximum | 2013-10-29 00:00:00 |
Histogram with fixed size bins (bins=50)
host_location
Categorical
IMBALANCE
| Distinct | 25 |
|---|---|
| Distinct (%) | 7.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| Rio de Janeiro, Brazil | |
|---|---|
| Brazil | 6 |
| no_info | 6 |
| State of Rio de Janeiro, Brazil | 3 |
| Los Angeles, CA | 3 |
| Other values (20) | 23 |
Length
| Max length | 31 |
|---|---|
| Median length | 22 |
| Mean length | 21.012158 |
| Min length | 6 |
Characters and Unicode
| Total characters | 6913 |
|---|---|
| Distinct characters | 45 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 17 ? |
|---|---|
| Unique (%) | 5.2% |
Sample
| 1st row | Rio de Janeiro, Brazil |
|---|---|
| 2nd row | Rio de Janeiro, Brazil |
| 3rd row | Rio de Janeiro, Brazil |
| 4th row | Rio de Janeiro, Brazil |
| 5th row | Rio de Janeiro, Brazil |
Common Values
| Value | Count | Frequency (%) |
| Rio de Janeiro, Brazil | 288 | |
| Brazil | 6 | 1.8% |
| no_info | 6 | 1.8% |
| State of Rio de Janeiro, Brazil | 3 | 0.9% |
| Los Angeles, CA | 3 | 0.9% |
| Rio, Brazil | 2 | 0.6% |
| Zug, Switzerland | 2 | 0.6% |
| São Paulo, Brazil | 2 | 0.6% |
| Massachusetts, United States | 1 | 0.3% |
| Mesa, AZ | 1 | 0.3% |
| Other values (15) | 15 | 4.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| brazil | 305 | |
| rio | 293 | |
| de | 291 | |
| janeiro | 291 | |
| no_info | 6 | 0.5% |
| ca | 5 | 0.4% |
| united | 3 | 0.2% |
| state | 3 | 0.2% |
| of | 3 | 0.2% |
| los | 3 | 0.2% |
| Other values (32) | 42 | 3.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 916 | ||
| i | 911 | |
| a | 628 | |
| o | 621 | |
| e | 611 | |
| r | 608 | |
| n | 324 | 4.7% |
| l | 320 | 4.6% |
| , | 315 | 4.6% |
| B | 309 | 4.5% |
| Other values (35) | 1350 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4724 | |
| Uppercase Letter | 952 | 13.8% |
| Space Separator | 916 | 13.3% |
| Other Punctuation | 315 | 4.6% |
| Connector Punctuation | 6 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 911 | |
| a | 628 | |
| o | 621 | |
| e | 611 | |
| r | 608 | |
| n | 324 | 6.9% |
| l | 320 | 6.8% |
| z | 307 | 6.5% |
| d | 298 | 6.3% |
| t | 21 | 0.4% |
| Other values (14) | 75 | 1.6% |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 309 | |
| R | 293 | |
| J | 292 | |
| S | 13 | 1.4% |
| A | 9 | 0.9% |
| P | 6 | 0.6% |
| C | 6 | 0.6% |
| L | 4 | 0.4% |
| Z | 3 | 0.3% |
| N | 3 | 0.3% |
| Other values (8) | 14 | 1.5% |
Space Separator
| Value | Count | Frequency (%) |
| 916 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 315 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 6 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5676 | |
| Common | 1237 | 17.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 911 | |
| a | 628 | |
| o | 621 | |
| e | 611 | |
| r | 608 | |
| n | 324 | 5.7% |
| l | 320 | 5.6% |
| B | 309 | 5.4% |
| z | 307 | 5.4% |
| d | 298 | 5.3% |
| Other values (32) | 739 |
Common
| Value | Count | Frequency (%) |
| 916 | ||
| , | 315 | 25.5% |
| _ | 6 | 0.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6909 | |
| None | 4 | 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 916 | ||
| i | 911 | |
| a | 628 | |
| o | 621 | |
| e | 611 | |
| r | 608 | |
| n | 324 | 4.7% |
| l | 320 | 4.6% |
| , | 315 | 4.6% |
| B | 309 | 4.5% |
| Other values (33) | 1346 |
None
| Value | Count | Frequency (%) |
| ã | 3 | |
| ó | 1 | 25.0% |
host_about
Text
| Distinct | 248 |
|---|---|
| Distinct (%) | 75.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 2198 |
|---|---|
| Median length | 483 |
| Mean length | 374.37386 |
| Min length | 1 |
Characters and Unicode
| Total characters | 123169 |
|---|---|
| Distinct characters | 112 |
| Distinct categories | 14 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 3 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 204 ? |
|---|---|
| Unique (%) | 62.0% |
Sample
| 1st row | Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade. Falo e escrevo em Inglês, francês, espanhol e português. |
|---|---|
| 2nd row | Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade. Falo e escrevo em Inglês, francês, espanhol e português. |
| 3rd row | Hellow ! Im Nilda! I love Rio de Janeiro. I work renting apartments for short time. the places are simples! but very clean , safe and well provided with basic staffs to spent a great vacations. Very well located, next to the beach one of the most famous Rio de Janeiro´ s beach: Copacabana you ll have easy and plenty access by bus and others public transportations services to the main and classic touristic points more visited by the travellers in Rio de Janeiro. Welcome to Rio, welcome to Brazil! |
| 4th row | I am a journalist/writer. Lived in NYC for 15 years. I am now based in Rio and published 3 volumes of travel stories on AMAZ0N: "The World Is My Oyster". If you have never been to Rio, check out the first story, and you'll get an idea. Apart from Rio, you'll find 29 other travel stories from all around the globe. |
| 5th row | Hi guys, Viviane is a commercial photographer, an avid world traveler, (a former photographer for Airbnb) and an Airbnb superhost. And a free lance photographer for other wonderful clients. She loves life and meeting people. We work together in providing the best accommodation to people and we are firm believers of enjoying the moment as a prime attitude towards life! |
| Value | Count | Frequency (%) |
| and | 588 | 2.8% |
| de | 534 | 2.5% |
| e | 489 | 2.3% |
| i | 443 | 2.1% |
| a | 403 | 1.9% |
| to | 398 | 1.9% |
| the | 395 | 1.9% |
| rio | 363 | 1.7% |
| in | 358 | 1.7% |
| 256 | 1.2% | |
| Other values (3563) | 16952 |
Most occurring characters
| Value | Count | Frequency (%) |
| 21038 | ||
| e | 11135 | 9.0% |
| a | 9907 | 8.0% |
| o | 8968 | 7.3% |
| i | 6852 | 5.6% |
| n | 6220 | 5.0% |
| r | 6071 | 4.9% |
| s | 6031 | 4.9% |
| t | 5735 | 4.7% |
| d | 3770 | 3.1% |
| Other values (102) | 37442 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 92045 | |
| Space Separator | 21042 | 17.1% |
| Uppercase Letter | 4237 | 3.4% |
| Other Punctuation | 3431 | 2.8% |
| Control | 1702 | 1.4% |
| Decimal Number | 403 | 0.3% |
| Dash Punctuation | 151 | 0.1% |
| Close Punctuation | 70 | 0.1% |
| Open Punctuation | 60 | < 0.1% |
| Final Punctuation | 10 | < 0.1% |
| Other values (4) | 18 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 11135 | |
| a | 9907 | |
| o | 8968 | 9.7% |
| i | 6852 | 7.4% |
| n | 6220 | 6.8% |
| r | 6071 | 6.6% |
| s | 6031 | 6.6% |
| t | 5735 | 6.2% |
| d | 3770 | 4.1% |
| l | 3493 | 3.8% |
| Other values (32) | 23863 |
Uppercase Letter
| Value | Count | Frequency (%) |
| I | 676 | |
| R | 508 | |
| S | 324 | 7.6% |
| A | 324 | 7.6% |
| C | 270 | 6.4% |
| E | 222 | 5.2% |
| J | 207 | 4.9% |
| M | 196 | 4.6% |
| B | 186 | 4.4% |
| T | 172 | 4.1% |
| Other values (22) | 1152 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 1473 | |
| . | 1336 | |
| ! | 264 | 7.7% |
| ' | 177 | 5.2% |
| " | 42 | 1.2% |
| : | 37 | 1.1% |
| / | 37 | 1.1% |
| ; | 19 | 0.6% |
| & | 16 | 0.5% |
| ? | 15 | 0.4% |
| Other values (5) | 15 | 0.4% |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 109 | |
| 2 | 79 | |
| 1 | 60 | |
| 5 | 31 | 7.7% |
| 9 | 28 | 6.9% |
| 7 | 24 | 6.0% |
| 3 | 20 | 5.0% |
| 4 | 20 | 5.0% |
| 8 | 19 | 4.7% |
| 6 | 13 | 3.2% |
Space Separator
| Value | Count | Frequency (%) |
| 21038 | ||
| 4 | < 0.1% |
Control
| Value | Count | Frequency (%) |
| 942 | ||
| 760 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 1 | |
| | | 1 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 151 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 70 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 60 |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 10 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 8 |
Modifier Symbol
| Value | Count | Frequency (%) |
| ´ | 7 |
Initial Punctuation
| Value | Count | Frequency (%) |
| ‘ | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 96282 | |
| Common | 26887 | 21.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 11135 | 11.6% |
| a | 9907 | 10.3% |
| o | 8968 | 9.3% |
| i | 6852 | 7.1% |
| n | 6220 | 6.5% |
| r | 6071 | 6.3% |
| s | 6031 | 6.3% |
| t | 5735 | 6.0% |
| d | 3770 | 3.9% |
| l | 3493 | 3.6% |
| Other values (64) | 28100 |
Common
| Value | Count | Frequency (%) |
| 21038 | ||
| , | 1473 | 5.5% |
| . | 1336 | 5.0% |
| 942 | 3.5% | |
| 760 | 2.8% | |
| ! | 264 | 1.0% |
| ' | 177 | 0.7% |
| - | 151 | 0.6% |
| 0 | 109 | 0.4% |
| 2 | 79 | 0.3% |
| Other values (28) | 558 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 122084 | |
| None | 1073 | 0.9% |
| Punctuation | 12 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 21038 | ||
| e | 11135 | 9.1% |
| a | 9907 | 8.1% |
| o | 8968 | 7.3% |
| i | 6852 | 5.6% |
| n | 6220 | 5.1% |
| r | 6071 | 5.0% |
| s | 6031 | 4.9% |
| t | 5735 | 4.7% |
| d | 3770 | 3.1% |
| Other values (73) | 36357 |
None
| Value | Count | Frequency (%) |
| é | 261 | |
| á | 159 | |
| ã | 147 | |
| ç | 128 | |
| ó | 88 | 8.2% |
| ê | 82 | 7.6% |
| í | 56 | 5.2% |
| à | 50 | 4.7% |
| ú | 37 | 3.4% |
| õ | 16 | 1.5% |
| Other values (16) | 49 | 4.6% |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 10 | |
| … | 1 | 8.3% |
| ‘ | 1 | 8.3% |
host_response_time
Categorical
HIGH CORRELATION
| Distinct | 5 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| within an hour | |
|---|---|
| within a few hours | |
| no_info | |
| within a day | |
| a few days or more |
Length
| Max length | 18 |
|---|---|
| Median length | 14 |
| Mean length | 13.629179 |
| Min length | 7 |
Characters and Unicode
| Total characters | 4484 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | within a few hours |
|---|---|
| 2nd row | within a few hours |
| 3rd row | within an hour |
| 4th row | within an hour |
| 5th row | within a few hours |
Common Values
| Value | Count | Frequency (%) |
| within an hour | 147 | |
| within a few hours | 67 | |
| no_info | 56 | 17.0% |
| within a day | 39 | 11.9% |
| a few days or more | 20 | 6.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| within | 253 | |
| an | 147 | |
| hour | 147 | |
| a | 126 | |
| few | 87 | 8.9% |
| hours | 67 | 6.8% |
| no_info | 56 | 5.7% |
| day | 39 | 4.0% |
| days | 20 | 2.0% |
| or | 20 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 653 | ||
| i | 562 | |
| n | 512 | |
| h | 467 | |
| o | 366 | |
| w | 340 | |
| a | 332 | |
| r | 254 | 5.7% |
| t | 253 | 5.6% |
| u | 214 | 4.8% |
| Other values (7) | 531 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3775 | |
| Space Separator | 653 | 14.6% |
| Connector Punctuation | 56 | 1.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 562 | |
| n | 512 | |
| h | 467 | |
| o | 366 | |
| w | 340 | |
| a | 332 | |
| r | 254 | |
| t | 253 | |
| u | 214 | 5.7% |
| f | 143 | 3.8% |
| Other values (5) | 332 |
Space Separator
| Value | Count | Frequency (%) |
| 653 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 56 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3775 | |
| Common | 709 | 15.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 562 | |
| n | 512 | |
| h | 467 | |
| o | 366 | |
| w | 340 | |
| a | 332 | |
| r | 254 | |
| t | 253 | |
| u | 214 | 5.7% |
| f | 143 | 3.8% |
| Other values (5) | 332 |
Common
| Value | Count | Frequency (%) |
| 653 | ||
| _ | 56 | 7.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4484 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 653 | ||
| i | 562 | |
| n | 512 | |
| h | 467 | |
| o | 366 | |
| w | 340 | |
| a | 332 | |
| r | 254 | 5.7% |
| t | 253 | 5.6% |
| u | 214 | 4.8% |
| Other values (7) | 531 |
host_response_rate
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 20 |
|---|---|
| Distinct (%) | 6.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| 100% | |
|---|---|
| no_info | |
| 90% | 13 |
| 0% | 13 |
| 50% | 7 |
| Other values (15) |
Length
| Max length | 7 |
|---|---|
| Median length | 4 |
| Mean length | 4.2765957 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1407 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 1.8% |
Sample
| 1st row | 100% |
|---|---|
| 2nd row | 100% |
| 3rd row | 100% |
| 4th row | 100% |
| 5th row | 100% |
Common Values
| Value | Count | Frequency (%) |
| 100% | 209 | |
| no_info | 56 | 17.0% |
| 90% | 13 | 4.0% |
| 0% | 13 | 4.0% |
| 50% | 7 | 2.1% |
| 94% | 4 | 1.2% |
| 32% | 3 | 0.9% |
| 70% | 3 | 0.9% |
| 78% | 3 | 0.9% |
| 30% | 3 | 0.9% |
| Other values (10) | 15 | 4.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 100 | 209 | |
| no_info | 56 | 17.0% |
| 90 | 13 | 4.0% |
| 0 | 13 | 4.0% |
| 50 | 7 | 2.1% |
| 94 | 4 | 1.2% |
| 78 | 3 | 0.9% |
| 30 | 3 | 0.9% |
| 64 | 3 | 0.9% |
| 70 | 3 | 0.9% |
| Other values (10) | 15 | 4.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 459 | |
| % | 273 | |
| 1 | 210 | |
| n | 112 | 8.0% |
| o | 112 | 8.0% |
| _ | 56 | 4.0% |
| i | 56 | 4.0% |
| f | 56 | 4.0% |
| 9 | 24 | 1.7% |
| 5 | 10 | 0.7% |
| Other values (6) | 39 | 2.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 742 | |
| Lowercase Letter | 336 | |
| Other Punctuation | 273 | 19.4% |
| Connector Punctuation | 56 | 4.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 459 | |
| 1 | 210 | |
| 9 | 24 | 3.2% |
| 5 | 10 | 1.3% |
| 7 | 9 | 1.2% |
| 4 | 8 | 1.1% |
| 8 | 8 | 1.1% |
| 3 | 6 | 0.8% |
| 6 | 5 | 0.7% |
| 2 | 3 | 0.4% |
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 112 | |
| o | 112 | |
| i | 56 | |
| f | 56 |
Other Punctuation
| Value | Count | Frequency (%) |
| % | 273 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 56 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1071 | |
| Latin | 336 | 23.9% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 459 | |
| % | 273 | |
| 1 | 210 | |
| _ | 56 | 5.2% |
| 9 | 24 | 2.2% |
| 5 | 10 | 0.9% |
| 7 | 9 | 0.8% |
| 4 | 8 | 0.7% |
| 8 | 8 | 0.7% |
| 3 | 6 | 0.6% |
| Other values (2) | 8 | 0.7% |
Latin
| Value | Count | Frequency (%) |
| n | 112 | |
| o | 112 | |
| i | 56 | |
| f | 56 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1407 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 459 | |
| % | 273 | |
| 1 | 210 | |
| n | 112 | 8.0% |
| o | 112 | 8.0% |
| _ | 56 | 4.0% |
| i | 56 | 4.0% |
| f | 56 | 4.0% |
| 9 | 24 | 1.7% |
| 5 | 10 | 0.7% |
| Other values (6) | 39 | 2.8% |
| Distinct | 54 |
|---|---|
| Distinct (%) | 16.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 7 |
|---|---|
| Median length | 3 |
| Mean length | 3.6413374 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1198 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 19 ? |
|---|---|
| Unique (%) | 5.8% |
Sample
| 1st row | 82% |
|---|---|
| 2nd row | 82% |
| 3rd row | 96% |
| 4th row | 96% |
| 5th row | 73% |
| Value | Count | Frequency (%) |
| 100 | 77 | |
| no_info | 38 | 11.6% |
| 50 | 17 | 5.2% |
| 0 | 16 | 4.9% |
| 97 | 12 | 3.6% |
| 94 | 11 | 3.3% |
| 96 | 11 | 3.3% |
| 99 | 11 | 3.3% |
| 89 | 9 | 2.7% |
| 67 | 8 | 2.4% |
| Other values (44) | 119 |
Most occurring characters
| Value | Count | Frequency (%) |
| % | 291 | |
| 0 | 204 | |
| 9 | 103 | 8.6% |
| 1 | 89 | 7.4% |
| n | 76 | 6.3% |
| o | 76 | 6.3% |
| 7 | 59 | 4.9% |
| 8 | 50 | 4.2% |
| _ | 38 | 3.2% |
| i | 38 | 3.2% |
| Other values (6) | 174 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 641 | |
| Other Punctuation | 291 | |
| Lowercase Letter | 228 | 19.0% |
| Connector Punctuation | 38 | 3.2% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 204 | |
| 9 | 103 | |
| 1 | 89 | |
| 7 | 59 | 9.2% |
| 8 | 50 | 7.8% |
| 6 | 36 | 5.6% |
| 5 | 30 | 4.7% |
| 3 | 27 | 4.2% |
| 2 | 26 | 4.1% |
| 4 | 17 | 2.7% |
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 76 | |
| o | 76 | |
| i | 38 | |
| f | 38 |
Other Punctuation
| Value | Count | Frequency (%) |
| % | 291 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 38 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 970 | |
| Latin | 228 | 19.0% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| % | 291 | |
| 0 | 204 | |
| 9 | 103 | 10.6% |
| 1 | 89 | 9.2% |
| 7 | 59 | 6.1% |
| 8 | 50 | 5.2% |
| _ | 38 | 3.9% |
| 6 | 36 | 3.7% |
| 5 | 30 | 3.1% |
| 3 | 27 | 2.8% |
| Other values (2) | 43 | 4.4% |
Latin
| Value | Count | Frequency (%) |
| n | 76 | |
| o | 76 | |
| i | 38 | |
| f | 38 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1198 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| % | 291 | |
| 0 | 204 | |
| 9 | 103 | 8.6% |
| 1 | 89 | 7.4% |
| n | 76 | 6.3% |
| o | 76 | 6.3% |
| 7 | 59 | 4.9% |
| 8 | 50 | 4.2% |
| _ | 38 | 3.2% |
| i | 38 | 3.2% |
| Other values (6) | 174 |
host_is_superhost
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| f | |
|---|---|
| t | |
| no_info | 12 |
Length
| Max length | 7 |
|---|---|
| Median length | 1 |
| Mean length | 1.218845 |
| Min length | 1 |
Characters and Unicode
| Total characters | 401 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | f |
|---|---|
| 2nd row | f |
| 3rd row | t |
| 4th row | t |
| 5th row | t |
Common Values
| Value | Count | Frequency (%) |
| f | 208 | |
| t | 109 | |
| no_info | 12 | 3.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| f | 208 | |
| t | 109 | |
| no_info | 12 | 3.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| f | 220 | |
| t | 109 | |
| n | 24 | 6.0% |
| o | 24 | 6.0% |
| _ | 12 | 3.0% |
| i | 12 | 3.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 389 | |
| Connector Punctuation | 12 | 3.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| f | 220 | |
| t | 109 | |
| n | 24 | 6.2% |
| o | 24 | 6.2% |
| i | 12 | 3.1% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 12 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 389 | |
| Common | 12 | 3.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| f | 220 | |
| t | 109 | |
| n | 24 | 6.2% |
| o | 24 | 6.2% |
| i | 12 | 3.1% |
Common
| Value | Count | Frequency (%) |
| _ | 12 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 401 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| f | 220 | |
| t | 109 | |
| n | 24 | 6.0% |
| o | 24 | 6.0% |
| _ | 12 | 3.0% |
| i | 12 | 3.0% |
| Distinct | 254 |
|---|---|
| Distinct (%) | 77.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 129 |
|---|---|
| Median length | 128 |
| Mean length | 104.37386 |
| Min length | 100 |
Characters and Unicode
| Total characters | 34339 |
|---|---|
| Distinct characters | 39 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 211 ? |
|---|---|
| Unique (%) | 64.1% |
Sample
| 1st row | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small |
|---|---|
| 2nd row | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small |
| 3rd row | https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_small |
| 4th row | https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_small |
| 5th row | https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_small |
| Value | Count | Frequency (%) |
| https://a0.muscache.com/im/users/792218/profile_pic/1310233853/original.jpg?aki_policy=profile_small | 8 | 2.4% |
| https://a0.muscache.com/im/pictures/user/e7e2f4b9-91bd-42e0-91f4-c8497791b8c9.jpg?aki_policy=profile_small | 7 | 2.1% |
| https://a0.muscache.com/im/users/1648634/profile_pic/1327454133/original.jpg?aki_policy=profile_small | 5 | 1.5% |
| https://a0.muscache.com/im/pictures/user/b6ae525a-fd1d-451f-922e-8ee6dfa2a16f.jpg?aki_policy=profile_small | 5 | 1.5% |
| https://a0.muscache.com/im/pictures/user/d9351e88-fd2a-42b7-9c7a-1eb3caffd888.jpg?aki_policy=profile_small | 4 | 1.2% |
| https://a0.muscache.com/im/pictures/user/31fc9c9f-26b4-44d6-bdaa-9f9d5ded347e.jpg?aki_policy=profile_small | 4 | 1.2% |
| https://a0.muscache.com/im/pictures/user/68a2ca6e-2961-4d33-8328-0ba705a3a7bc.jpg?aki_policy=profile_small | 3 | 0.9% |
| https://a0.muscache.com/im/pictures/user/78486d32-aec4-4a64-aab5-dffa9c2da741.jpg?aki_policy=profile_small | 3 | 0.9% |
| https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_small | 3 | 0.9% |
| https://a0.muscache.com/im/pictures/user/db6a4a2a-c478-4b85-bb7e-0d8ca9fe98ec.jpg?aki_policy=profile_small | 3 | 0.9% |
| Other values (244) | 284 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 2324 | 6.8% |
| i | 2156 | 6.3% |
| c | 1943 | 5.7% |
| a | 1890 | 5.5% |
| p | 1806 | 5.3% |
| e | 1684 | 4.9% |
| s | 1659 | 4.8% |
| l | 1652 | 4.8% |
| o | 1323 | 3.9% |
| m | 1316 | 3.8% |
| Other values (29) | 16586 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 22084 | |
| Decimal Number | 6438 | 18.7% |
| Other Punctuation | 3969 | 11.6% |
| Connector Punctuation | 819 | 2.4% |
| Dash Punctuation | 686 | 2.0% |
| Math Symbol | 329 | 1.0% |
| Uppercase Letter | 14 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 2156 | 9.8% |
| c | 1943 | 8.8% |
| a | 1890 | 8.6% |
| p | 1806 | 8.2% |
| e | 1684 | 7.6% |
| s | 1659 | 7.5% |
| l | 1652 | 7.5% |
| o | 1323 | 6.0% |
| m | 1316 | 6.0% |
| r | 1176 | 5.3% |
| Other values (11) | 5479 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 819 | |
| 1 | 767 | |
| 4 | 737 | |
| 3 | 675 | |
| 5 | 603 | |
| 2 | 595 | |
| 9 | 590 | |
| 8 | 577 | |
| 6 | 544 | |
| 7 | 531 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 2324 | |
| . | 987 | |
| : | 329 | 8.3% |
| ? | 329 | 8.3% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 819 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 686 |
Math Symbol
| Value | Count | Frequency (%) |
| = | 329 |
Uppercase Letter
| Value | Count | Frequency (%) |
| U | 14 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 22098 | |
| Common | 12241 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 2156 | 9.8% |
| c | 1943 | 8.8% |
| a | 1890 | 8.6% |
| p | 1806 | 8.2% |
| e | 1684 | 7.6% |
| s | 1659 | 7.5% |
| l | 1652 | 7.5% |
| o | 1323 | 6.0% |
| m | 1316 | 6.0% |
| r | 1176 | 5.3% |
| Other values (12) | 5493 |
Common
| Value | Count | Frequency (%) |
| / | 2324 | |
| . | 987 | 8.1% |
| 0 | 819 | 6.7% |
| _ | 819 | 6.7% |
| 1 | 767 | 6.3% |
| 4 | 737 | 6.0% |
| - | 686 | 5.6% |
| 3 | 675 | 5.5% |
| 5 | 603 | 4.9% |
| 2 | 595 | 4.9% |
| Other values (7) | 3229 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 34339 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 2324 | 6.8% |
| i | 2156 | 6.3% |
| c | 1943 | 5.7% |
| a | 1890 | 5.5% |
| p | 1806 | 5.3% |
| e | 1684 | 4.9% |
| s | 1659 | 4.8% |
| l | 1652 | 4.8% |
| o | 1323 | 3.9% |
| m | 1316 | 3.8% |
| Other values (29) | 16586 |
host_picture_url
Text
| Distinct | 254 |
|---|---|
| Distinct (%) | 77.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 132 |
|---|---|
| Median length | 131 |
| Mean length | 107.37386 |
| Min length | 103 |
Characters and Unicode
| Total characters | 35326 |
|---|---|
| Distinct characters | 40 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 211 ? |
|---|---|
| Unique (%) | 64.1% |
Sample
| 1st row | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium |
|---|---|
| 2nd row | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium |
| 3rd row | https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_x_medium |
| 4th row | https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_x_medium |
| 5th row | https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_x_medium |
| Value | Count | Frequency (%) |
| https://a0.muscache.com/im/users/792218/profile_pic/1310233853/original.jpg?aki_policy=profile_x_medium | 8 | 2.4% |
| https://a0.muscache.com/im/pictures/user/e7e2f4b9-91bd-42e0-91f4-c8497791b8c9.jpg?aki_policy=profile_x_medium | 7 | 2.1% |
| https://a0.muscache.com/im/users/1648634/profile_pic/1327454133/original.jpg?aki_policy=profile_x_medium | 5 | 1.5% |
| https://a0.muscache.com/im/pictures/user/b6ae525a-fd1d-451f-922e-8ee6dfa2a16f.jpg?aki_policy=profile_x_medium | 5 | 1.5% |
| https://a0.muscache.com/im/pictures/user/d9351e88-fd2a-42b7-9c7a-1eb3caffd888.jpg?aki_policy=profile_x_medium | 4 | 1.2% |
| https://a0.muscache.com/im/pictures/user/31fc9c9f-26b4-44d6-bdaa-9f9d5ded347e.jpg?aki_policy=profile_x_medium | 4 | 1.2% |
| https://a0.muscache.com/im/pictures/user/68a2ca6e-2961-4d33-8328-0ba705a3a7bc.jpg?aki_policy=profile_x_medium | 3 | 0.9% |
| https://a0.muscache.com/im/pictures/user/78486d32-aec4-4a64-aab5-dffa9c2da741.jpg?aki_policy=profile_x_medium | 3 | 0.9% |
| https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_x_medium | 3 | 0.9% |
| https://a0.muscache.com/im/pictures/user/db6a4a2a-c478-4b85-bb7e-0d8ca9fe98ec.jpg?aki_policy=profile_x_medium | 3 | 0.9% |
| Other values (244) | 284 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 2485 | 7.0% |
| / | 2324 | 6.6% |
| e | 2013 | 5.7% |
| c | 1943 | 5.5% |
| p | 1806 | 5.1% |
| m | 1645 | 4.7% |
| a | 1561 | 4.4% |
| s | 1330 | 3.8% |
| o | 1323 | 3.7% |
| r | 1176 | 3.3% |
| Other values (30) | 17720 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 22742 | |
| Decimal Number | 6438 | 18.2% |
| Other Punctuation | 3969 | 11.2% |
| Connector Punctuation | 1148 | 3.2% |
| Dash Punctuation | 686 | 1.9% |
| Math Symbol | 329 | 0.9% |
| Uppercase Letter | 14 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 2485 | 10.9% |
| e | 2013 | 8.9% |
| c | 1943 | 8.5% |
| p | 1806 | 7.9% |
| m | 1645 | 7.2% |
| a | 1561 | 6.9% |
| s | 1330 | 5.8% |
| o | 1323 | 5.8% |
| r | 1176 | 5.2% |
| u | 1155 | 5.1% |
| Other values (12) | 6305 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 819 | |
| 1 | 767 | |
| 4 | 737 | |
| 3 | 675 | |
| 5 | 603 | |
| 2 | 595 | |
| 9 | 590 | |
| 8 | 577 | |
| 6 | 544 | |
| 7 | 531 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 2324 | |
| . | 987 | |
| ? | 329 | 8.3% |
| : | 329 | 8.3% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 1148 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 686 |
Math Symbol
| Value | Count | Frequency (%) |
| = | 329 |
Uppercase Letter
| Value | Count | Frequency (%) |
| U | 14 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 22756 | |
| Common | 12570 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 2485 | 10.9% |
| e | 2013 | 8.8% |
| c | 1943 | 8.5% |
| p | 1806 | 7.9% |
| m | 1645 | 7.2% |
| a | 1561 | 6.9% |
| s | 1330 | 5.8% |
| o | 1323 | 5.8% |
| r | 1176 | 5.2% |
| u | 1155 | 5.1% |
| Other values (13) | 6319 |
Common
| Value | Count | Frequency (%) |
| / | 2324 | |
| _ | 1148 | 9.1% |
| . | 987 | 7.9% |
| 0 | 819 | 6.5% |
| 1 | 767 | 6.1% |
| 4 | 737 | 5.9% |
| - | 686 | 5.5% |
| 3 | 675 | 5.4% |
| 5 | 603 | 4.8% |
| 2 | 595 | 4.7% |
| Other values (7) | 3229 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 35326 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 2485 | 7.0% |
| / | 2324 | 6.6% |
| e | 2013 | 5.7% |
| c | 1943 | 5.5% |
| p | 1806 | 5.1% |
| m | 1645 | 4.7% |
| a | 1561 | 4.4% |
| s | 1330 | 3.8% |
| o | 1323 | 3.7% |
| r | 1176 | 3.3% |
| Other values (30) | 17720 |
host_neighbourhood
Categorical
HIGH CORRELATION
| Distinct | 33 |
|---|---|
| Distinct (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| Copacabana | |
|---|---|
| Ipanema | |
| Santa Teresa | |
| no_info | |
| Barra da Tijuca | |
| Other values (28) |
Length
| Max length | 24 |
|---|---|
| Median length | 15 |
| Mean length | 9.0881459 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2990 |
|---|---|
| Distinct characters | 43 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 12 ? |
|---|---|
| Unique (%) | 3.6% |
Sample
| 1st row | Copacabana |
|---|---|
| 2nd row | Copacabana |
| 3rd row | Copacabana |
| 4th row | Copacabana |
| 5th row | Copacabana |
Common Values
| Value | Count | Frequency (%) |
| Copacabana | 133 | |
| Ipanema | 40 | 12.2% |
| Santa Teresa | 24 | 7.3% |
| no_info | 20 | 6.1% |
| Barra da Tijuca | 18 | 5.5% |
| Leblon | 13 | 4.0% |
| Botafogo | 12 | 3.6% |
| Leme | 8 | 2.4% |
| Gávea | 7 | 2.1% |
| Flamengo | 6 | 1.8% |
| Other values (23) | 48 | 14.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| copacabana | 133 | |
| ipanema | 40 | 10.0% |
| santa | 24 | 6.0% |
| teresa | 24 | 6.0% |
| tijuca | 21 | 5.2% |
| no_info | 20 | 5.0% |
| da | 19 | 4.7% |
| barra | 18 | 4.5% |
| leblon | 13 | 3.2% |
| botafogo | 12 | 3.0% |
| Other values (33) | 77 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 847 | |
| n | 280 | 9.4% |
| o | 256 | 8.6% |
| p | 179 | 6.0% |
| c | 166 | 5.6% |
| e | 151 | 5.1% |
| b | 146 | 4.9% |
| C | 143 | 4.8% |
| r | 88 | 2.9% |
| 72 | 2.4% | |
| Other values (33) | 662 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2537 | |
| Uppercase Letter | 361 | 12.1% |
| Space Separator | 72 | 2.4% |
| Connector Punctuation | 20 | 0.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 847 | |
| n | 280 | 11.0% |
| o | 256 | 10.1% |
| p | 179 | 7.1% |
| c | 166 | 6.5% |
| e | 151 | 6.0% |
| b | 146 | 5.8% |
| r | 88 | 3.5% |
| i | 72 | 2.8% |
| m | 61 | 2.4% |
| Other values (16) | 291 | 11.5% |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 143 | |
| T | 45 | 12.5% |
| I | 42 | 11.6% |
| B | 33 | 9.1% |
| L | 32 | 8.9% |
| S | 27 | 7.5% |
| G | 10 | 2.8% |
| V | 7 | 1.9% |
| F | 6 | 1.7% |
| J | 4 | 1.1% |
| Other values (5) | 12 | 3.3% |
Space Separator
| Value | Count | Frequency (%) |
| 72 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 20 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2898 | |
| Common | 92 | 3.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 847 | |
| n | 280 | 9.7% |
| o | 256 | 8.8% |
| p | 179 | 6.2% |
| c | 166 | 5.7% |
| e | 151 | 5.2% |
| b | 146 | 5.0% |
| C | 143 | 4.9% |
| r | 88 | 3.0% |
| i | 72 | 2.5% |
| Other values (31) | 570 |
Common
| Value | Count | Frequency (%) |
| 72 | ||
| _ | 20 | 21.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2968 | |
| None | 22 | 0.7% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 847 | |
| n | 280 | 9.4% |
| o | 256 | 8.6% |
| p | 179 | 6.0% |
| c | 166 | 5.6% |
| e | 151 | 5.1% |
| b | 146 | 4.9% |
| C | 143 | 4.8% |
| r | 88 | 3.0% |
| 72 | 2.4% | |
| Other values (27) | 640 |
None
| Value | Count | Frequency (%) |
| á | 14 | |
| ó | 3 | 13.6% |
| â | 2 | 9.1% |
| ã | 1 | 4.5% |
| ç | 1 | 4.5% |
| ê | 1 | 4.5% |
host_listings_count
Real number (ℝ)
HIGH CORRELATION
| Distinct | 16 |
|---|---|
| Distinct (%) | 4.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.7021277 |
| Minimum | 1 |
|---|---|
| Maximum | 35 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 35 |
| Range | 34 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.9850362 |
|---|---|
| Coefficient of variation (CV) | 1.0764178 |
| Kurtosis | 23.001872 |
| Mean | 3.7021277 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.71756 |
| Sum | 1218 |
| Variance | 15.880514 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 1 | 117 | |
| 2 | 57 | |
| 3 | 35 | 10.6% |
| 4 | 32 | 9.7% |
| 8 | 20 | 6.1% |
| 5 | 17 | 5.2% |
| 10 | 14 | 4.3% |
| 6 | 13 | 4.0% |
| 7 | 11 | 3.3% |
| 12 | 3 | 0.9% |
| Other values (6) | 10 | 3.0% |
| Value | Count | Frequency (%) |
| 1 | 117 | |
| 2 | 57 | |
| 3 | 35 | 10.6% |
| 4 | 32 | 9.7% |
| 5 | 17 | 5.2% |
| 6 | 13 | 4.0% |
| 7 | 11 | 3.3% |
| 8 | 20 | 6.1% |
| 9 | 1 | 0.3% |
| 10 | 14 | 4.3% |
| Value | Count | Frequency (%) |
| 35 | 2 | 0.6% |
| 21 | 1 | 0.3% |
| 15 | 2 | 0.6% |
| 13 | 2 | 0.6% |
| 12 | 3 | 0.9% |
| 11 | 2 | 0.6% |
| 10 | 14 | |
| 9 | 1 | 0.3% |
| 8 | 20 | |
| 7 | 11 |
host_total_listings_count
Real number (ℝ)
HIGH CORRELATION
| Distinct | 24 |
|---|---|
| Distinct (%) | 7.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.0547112 |
| Minimum | 1 |
|---|---|
| Maximum | 118 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 9 |
| 95-th percentile | 27.6 |
| Maximum | 118 |
| Range | 117 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 13.201882 |
|---|---|
| Coefficient of variation (CV) | 1.6390261 |
| Kurtosis | 32.325256 |
| Mean | 8.0547112 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 5.0011087 |
| Sum | 2650 |
| Variance | 174.28968 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 4 | 41 | |
| 3 | 38 | |
| 2 | 31 | |
| 7 | 20 | 6.1% |
| 5 | 18 | 5.5% |
| 6 | 17 | 5.2% |
| 9 | 15 | 4.6% |
| 8 | 14 | 4.3% |
| 15 | 12 | 3.6% |
| Other values (14) | 58 |
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 2 | 31 | |
| 3 | 38 | |
| 4 | 41 | |
| 5 | 18 | 5.5% |
| 6 | 17 | 5.2% |
| 7 | 20 | 6.1% |
| 8 | 14 | 4.3% |
| 9 | 15 | 4.6% |
| 10 | 9 | 2.7% |
| Value | Count | Frequency (%) |
| 118 | 2 | 0.6% |
| 59 | 7 | |
| 52 | 1 | 0.3% |
| 32 | 4 | 1.2% |
| 31 | 1 | 0.3% |
| 28 | 2 | 0.6% |
| 27 | 3 | 0.9% |
| 23 | 3 | 0.9% |
| 17 | 2 | 0.6% |
| 15 | 12 |
host_verifications
Categorical
IMBALANCE
| Distinct | 5 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| ['email', 'phone'] | |
|---|---|
| ['email', 'phone', 'work_email'] | 28 |
| ['phone'] | 13 |
| ['email'] | 2 |
| ['phone', 'work_email'] | 2 |
Length
| Max length | 32 |
|---|---|
| Median length | 18 |
| Mean length | 18.81155 |
| Min length | 9 |
Characters and Unicode
| Total characters | 6189 |
|---|---|
| Distinct characters | 18 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ['email', 'phone'] |
|---|---|
| 2nd row | ['email', 'phone'] |
| 3rd row | ['email', 'phone'] |
| 4th row | ['email', 'phone'] |
| 5th row | ['email', 'phone'] |
Common Values
| Value | Count | Frequency (%) |
| ['email', 'phone'] | 284 | |
| ['email', 'phone', 'work_email'] | 28 | 8.5% |
| ['phone'] | 13 | 4.0% |
| ['email'] | 2 | 0.6% |
| ['phone', 'work_email'] | 2 | 0.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| phone | 327 | |
| 314 | ||
| work_email | 30 | 4.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| ' | 1342 | |
| e | 671 | |
| o | 357 | 5.8% |
| m | 344 | 5.6% |
| a | 344 | 5.6% |
| i | 344 | 5.6% |
| l | 344 | 5.6% |
| , | 342 | 5.5% |
| 342 | 5.5% | |
| [ | 329 | 5.3% |
| Other values (8) | 1430 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3475 | |
| Other Punctuation | 1684 | |
| Space Separator | 342 | 5.5% |
| Open Punctuation | 329 | 5.3% |
| Close Punctuation | 329 | 5.3% |
| Connector Punctuation | 30 | 0.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 671 | |
| o | 357 | |
| m | 344 | |
| a | 344 | |
| i | 344 | |
| l | 344 | |
| n | 327 | |
| p | 327 | |
| h | 327 | |
| w | 30 | 0.9% |
| Other values (2) | 60 | 1.7% |
Other Punctuation
| Value | Count | Frequency (%) |
| ' | 1342 | |
| , | 342 | 20.3% |
Space Separator
| Value | Count | Frequency (%) |
| 342 |
Open Punctuation
| Value | Count | Frequency (%) |
| [ | 329 |
Close Punctuation
| Value | Count | Frequency (%) |
| ] | 329 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 30 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3475 | |
| Common | 2714 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 671 | |
| o | 357 | |
| m | 344 | |
| a | 344 | |
| i | 344 | |
| l | 344 | |
| n | 327 | |
| p | 327 | |
| h | 327 | |
| w | 30 | 0.9% |
| Other values (2) | 60 | 1.7% |
Common
| Value | Count | Frequency (%) |
| ' | 1342 | |
| , | 342 | 12.6% |
| 342 | 12.6% | |
| [ | 329 | 12.1% |
| ] | 329 | 12.1% |
| _ | 30 | 1.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6189 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| ' | 1342 | |
| e | 671 | |
| o | 357 | 5.8% |
| m | 344 | 5.6% |
| a | 344 | 5.6% |
| i | 344 | 5.6% |
| l | 344 | 5.6% |
| , | 342 | 5.5% |
| 342 | 5.5% | |
| [ | 329 | 5.3% |
| Other values (8) | 1430 |
host_identity_verified
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.9 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 272 | |
| False | 57 | 17.3% |
neighbourhood
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 13 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| Rio de Janeiro, Brazil | |
|---|---|
| no_info | |
| Rio, Rio de Janeiro, Brazil | 13 |
| Copacabana, Rio de Janeiro, Brazil | 6 |
| Joatinga, Rio de Janeiro, Brazil | 1 |
| Other values (8) | 8 |
Length
| Max length | 52 |
|---|---|
| Median length | 39 |
| Mean length | 15.990881 |
| Min length | 7 |
Characters and Unicode
| Total characters | 5261 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 9 ? |
|---|---|
| Unique (%) | 2.7% |
Sample
| 1st row | no_info |
|---|---|
| 2nd row | no_info |
| 3rd row | Rio de Janeiro, Brazil |
| 4th row | Rio de Janeiro, Brazil |
| 5th row | Rio de Janeiro, Brazil |
Common Values
| Value | Count | Frequency (%) |
| Rio de Janeiro, Brazil | 152 | |
| no_info | 149 | |
| Rio, Rio de Janeiro, Brazil | 13 | 4.0% |
| Copacabana, Rio de Janeiro, Brazil | 6 | 1.8% |
| Joatinga, Rio de Janeiro, Brazil | 1 | 0.3% |
| Santa Teresa, Rio de Janeiro, Brazil | 1 | 0.3% |
| Rio de janeiro , Rio de Janeiro, Brazil | 1 | 0.3% |
| Itanhangá, Rio de Janeiro, Brazil | 1 | 0.3% |
| Praça Seca, Rio de Janeiro, Brazil | 1 | 0.3% |
| Rio de Janeiro, Rj, Brazil | 1 | 0.3% |
| Other values (3) | 3 | 0.9% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| rio | 196 | |
| de | 183 | |
| janeiro | 183 | |
| brazil | 180 | |
| no_info | 149 | |
| copacabana | 7 | 0.8% |
| 4 | 0.4% | |
| joatinga | 1 | 0.1% |
| santa | 1 | 0.1% |
| teresa | 1 | 0.1% |
| Other values (5) | 5 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 709 | |
| o | 685 | |
| 581 | ||
| n | 492 | |
| a | 402 | 7.6% |
| e | 369 | 7.0% |
| r | 366 | 7.0% |
| , | 208 | 4.0% |
| R | 197 | 3.7% |
| J | 183 | 3.5% |
| Other values (23) | 1069 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3749 | |
| Space Separator | 581 | 11.0% |
| Uppercase Letter | 573 | 10.9% |
| Other Punctuation | 209 | 4.0% |
| Connector Punctuation | 149 | 2.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 709 | |
| o | 685 | |
| n | 492 | |
| a | 402 | |
| e | 369 | |
| r | 366 | |
| d | 183 | 4.9% |
| z | 180 | 4.8% |
| l | 180 | 4.8% |
| f | 149 | 4.0% |
| Other values (10) | 34 | 0.9% |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 197 | |
| J | 183 | |
| B | 180 | |
| C | 7 | 1.2% |
| S | 2 | 0.3% |
| T | 1 | 0.2% |
| I | 1 | 0.2% |
| P | 1 | 0.2% |
| U | 1 | 0.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 208 | |
| / | 1 | 0.5% |
Space Separator
| Value | Count | Frequency (%) |
| 581 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 149 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4322 | |
| Common | 939 | 17.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 709 | |
| o | 685 | |
| n | 492 | |
| a | 402 | |
| e | 369 | |
| r | 366 | |
| R | 197 | 4.6% |
| J | 183 | 4.2% |
| d | 183 | 4.2% |
| B | 180 | 4.2% |
| Other values (19) | 556 |
Common
| Value | Count | Frequency (%) |
| 581 | ||
| , | 208 | 22.2% |
| _ | 149 | 15.9% |
| / | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5259 | |
| None | 2 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 709 | |
| o | 685 | |
| 581 | ||
| n | 492 | |
| a | 402 | 7.6% |
| e | 369 | 7.0% |
| r | 366 | 7.0% |
| , | 208 | 4.0% |
| R | 197 | 3.7% |
| J | 183 | 3.5% |
| Other values (21) | 1067 |
None
| Value | Count | Frequency (%) |
| á | 1 | |
| ç | 1 |
neighbourhood_cleansed
Categorical
HIGH CORRELATION
| Distinct | 33 |
|---|---|
| Distinct (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| Copacabana | |
|---|---|
| Ipanema | |
| Santa Teresa | |
| Botafogo | |
| Barra da Tijuca | |
| Other values (28) |
Length
| Max length | 24 |
|---|---|
| Median length | 17 |
| Mean length | 9.2978723 |
| Min length | 3 |
Characters and Unicode
| Total characters | 3059 |
|---|---|
| Distinct characters | 43 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 10 ? |
|---|---|
| Unique (%) | 3.0% |
Sample
| 1st row | Copacabana |
|---|---|
| 2nd row | Copacabana |
| 3rd row | Copacabana |
| 4th row | Copacabana |
| 5th row | Copacabana |
Common Values
| Value | Count | Frequency (%) |
| Copacabana | 139 | |
| Ipanema | 41 | 12.5% |
| Santa Teresa | 26 | 7.9% |
| Botafogo | 18 | 5.5% |
| Barra da Tijuca | 16 | 4.9% |
| Leblon | 14 | 4.3% |
| Leme | 8 | 2.4% |
| Gávea | 6 | 1.8% |
| Flamengo | 6 | 1.8% |
| Centro | 5 | 1.5% |
| Other values (23) | 50 | 15.2% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| copacabana | 139 | |
| ipanema | 41 | 10.0% |
| santa | 26 | 6.3% |
| teresa | 26 | 6.3% |
| da | 20 | 4.9% |
| tijuca | 19 | 4.6% |
| botafogo | 18 | 4.4% |
| barra | 16 | 3.9% |
| leblon | 14 | 3.4% |
| leme | 8 | 2.0% |
| Other values (36) | 83 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 251 | 8.2% |
| o | 248 | 8.1% |
| p | 183 | 6.0% |
| c | 173 | 5.7% |
| e | 162 | 5.3% |
| b | 153 | 5.0% |
| C | 149 | 4.9% |
| r | 95 | 3.1% |
| 81 | 2.6% | |
| Other values (33) | 675 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2589 | |
| Uppercase Letter | 389 | 12.7% |
| Space Separator | 81 | 2.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 251 | 9.7% |
| o | 248 | 9.6% |
| p | 183 | 7.1% |
| c | 173 | 6.7% |
| e | 162 | 6.3% |
| b | 153 | 5.9% |
| r | 95 | 3.7% |
| t | 67 | 2.6% |
| m | 64 | 2.5% |
| Other values (16) | 304 | 11.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 149 | |
| T | 45 | 11.6% |
| I | 43 | 11.1% |
| B | 41 | 10.5% |
| L | 30 | 7.7% |
| S | 30 | 7.7% |
| V | 11 | 2.8% |
| G | 10 | 2.6% |
| J | 8 | 2.1% |
| F | 6 | 1.5% |
| Other values (6) | 16 | 4.1% |
Space Separator
| Value | Count | Frequency (%) |
| 81 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2978 | |
| Common | 81 | 2.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 251 | 8.4% |
| o | 248 | 8.3% |
| p | 183 | 6.1% |
| c | 173 | 5.8% |
| e | 162 | 5.4% |
| b | 153 | 5.1% |
| C | 149 | 5.0% |
| r | 95 | 3.2% |
| t | 67 | 2.2% |
| Other values (32) | 608 |
Common
| Value | Count | Frequency (%) |
| 81 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3033 | |
| None | 26 | 0.8% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 889 | |
| n | 251 | 8.3% |
| o | 248 | 8.2% |
| p | 183 | 6.0% |
| c | 173 | 5.7% |
| e | 162 | 5.3% |
| b | 153 | 5.0% |
| C | 149 | 4.9% |
| r | 95 | 3.1% |
| 81 | 2.7% | |
| Other values (27) | 649 |
None
| Value | Count | Frequency (%) |
| á | 17 | |
| â | 3 | 11.5% |
| ó | 3 | 11.5% |
| ú | 1 | 3.8% |
| ç | 1 | 3.8% |
| ã | 1 | 3.8% |
latitude
Real number (ℝ)
HIGH CORRELATION
| Distinct | 308 |
|---|---|
| Distinct (%) | 93.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -22.967138 |
| Minimum | -23.03154 |
|---|---|
| Maximum | -22.84008 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 329 |
| Negative (%) | 100.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | -23.03154 |
|---|---|
| 5-th percentile | -23.004426 |
| Q1 | -22.98312 |
| median | -22.97453 |
| Q3 | -22.95975 |
| 95-th percentile | -22.91615 |
| Maximum | -22.84008 |
| Range | 0.19146 |
| Interquartile range (IQR) | 0.02337 |
Descriptive statistics
| Standard deviation | 0.026229086 |
|---|---|
| Coefficient of variation (CV) | -0.0011420268 |
| Kurtosis | 2.7368175 |
| Mean | -22.967138 |
| Median Absolute Deviation (MAD) | 0.01003 |
| Skewness | 1.2602201 |
| Sum | -7556.1883 |
| Variance | 0.00068796496 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -22.98069 | 3 | 0.9% |
| -22.97995 | 3 | 0.9% |
| -22.98251 | 3 | 0.9% |
| -22.96633 | 3 | 0.9% |
| -22.98127 | 2 | 0.6% |
| -22.98583 | 2 | 0.6% |
| -22.96554 | 2 | 0.6% |
| -22.96102 | 2 | 0.6% |
| -22.9814015 | 2 | 0.6% |
| -22.98644 | 2 | 0.6% |
| Other values (298) | 305 |
| Value | Count | Frequency (%) |
| -23.03154 | 1 | |
| -23.01545 | 1 | |
| -23.01524 | 1 | |
| -23.01469 | 1 | |
| -23.01147 | 1 | |
| -23.01124 | 1 | |
| -23.01057 | 1 | |
| -23.01023 | 1 | |
| -23.0102 | 1 | |
| -23.01017 | 1 |
| Value | Count | Frequency (%) |
| -22.84008 | 1 | |
| -22.84208 | 1 | |
| -22.8957679 | 1 | |
| -22.90022 | 1 | |
| -22.90544 | 1 | |
| -22.90559 | 1 | |
| -22.91178 | 1 | |
| -22.91258 | 1 | |
| -22.91415 | 1 | |
| -22.91471 | 1 |
longitude
Real number (ℝ)
HIGH CORRELATION
| Distinct | 306 |
|---|---|
| Distinct (%) | 93.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -43.207967 |
| Minimum | -43.49074 |
|---|---|
| Maximum | -43.16144 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 329 |
| Negative (%) | 100.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | -43.49074 |
|---|---|
| 5-th percentile | -43.342062 |
| Q1 | -43.20079 |
| median | -43.1911 |
| Q3 | -43.18496 |
| 95-th percentile | -43.1748 |
| Maximum | -43.16144 |
| Range | 0.3293 |
| Interquartile range (IQR) | 0.01583 |
Descriptive statistics
| Standard deviation | 0.051410484 |
|---|---|
| Coefficient of variation (CV) | -0.0011898381 |
| Kurtosis | 9.4040876 |
| Mean | -43.207967 |
| Median Absolute Deviation (MAD) | 0.0078 |
| Skewness | -2.9979707 |
| Sum | -14215.421 |
| Variance | 0.0026430379 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -43.19215 | 4 | 1.2% |
| -43.19277 | 3 | 0.9% |
| -43.17754 | 3 | 0.9% |
| -43.19024 | 3 | 0.9% |
| -43.17257 | 2 | 0.6% |
| -43.18429 | 2 | 0.6% |
| -43.18902 | 2 | 0.6% |
| -43.1902 | 2 | 0.6% |
| -43.19374 | 2 | 0.6% |
| -43.19146 | 2 | 0.6% |
| Other values (296) | 304 |
| Value | Count | Frequency (%) |
| -43.49074 | 1 | |
| -43.47437 | 1 | |
| -43.44626 | 1 | |
| -43.42651 | 1 | |
| -43.41337 | 1 | |
| -43.388355 | 1 | |
| -43.38321 | 1 | |
| -43.37633 | 1 | |
| -43.37246 | 1 | |
| -43.37081 | 1 |
| Value | Count | Frequency (%) |
| -43.16144 | 1 | |
| -43.16666 | 1 | |
| -43.16751 | 1 | |
| -43.1676 | 1 | |
| -43.168194 | 1 | |
| -43.16858 | 1 | |
| -43.16868 | 1 | |
| -43.17022 | 1 | |
| -43.17127 | 1 | |
| -43.17257 | 2 |
property_type
Categorical
HIGH CORRELATION
| Distinct | 17 |
|---|---|
| Distinct (%) | 5.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| Entire rental unit | |
|---|---|
| Private room in rental unit | |
| Private room in home | |
| Entire condo | 16 |
| Entire home | 11 |
| Other values (12) |
Length
| Max length | 33 |
|---|---|
| Median length | 18 |
| Mean length | 19.528875 |
| Min length | 11 |
Characters and Unicode
| Total characters | 6425 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 1.8% |
Sample
| 1st row | Entire rental unit |
|---|---|
| 2nd row | Entire rental unit |
| 3rd row | Entire rental unit |
| 4th row | Entire condo |
| 5th row | Entire rental unit |
Common Values
| Value | Count | Frequency (%) |
| Entire rental unit | 185 | |
| Private room in rental unit | 65 | 19.8% |
| Private room in home | 25 | 7.6% |
| Entire condo | 16 | 4.9% |
| Entire home | 11 | 3.3% |
| Entire loft | 8 | 2.4% |
| Private room in condo | 4 | 1.2% |
| Private room in bed and breakfast | 3 | 0.9% |
| Entire guest suite | 2 | 0.6% |
| Private room in guesthouse | 2 | 0.6% |
| Other values (7) | 8 | 2.4% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| rental | 250 | |
| unit | 250 | |
| entire | 226 | |
| room | 102 | |
| in | 102 | |
| private | 101 | |
| home | 38 | 3.4% |
| condo | 20 | 1.8% |
| loft | 8 | 0.7% |
| guesthouse | 3 | 0.3% |
| Other values (12) | 23 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 856 | |
| n | 855 | |
| 794 | ||
| r | 688 | |
| i | 684 | |
| e | 646 | |
| a | 367 | |
| o | 297 | 4.6% |
| u | 263 | 4.1% |
| l | 259 | 4.0% |
| Other values (15) | 716 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 5302 | |
| Space Separator | 794 | 12.4% |
| Uppercase Letter | 329 | 5.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 856 | |
| n | 855 | |
| r | 688 | |
| i | 684 | |
| e | 646 | |
| a | 367 | |
| o | 297 | 5.6% |
| u | 263 | 5.0% |
| l | 259 | 4.9% |
| m | 142 | 2.7% |
| Other values (11) | 245 | 4.6% |
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 227 | |
| P | 101 | |
| R | 1 | 0.3% |
Space Separator
| Value | Count | Frequency (%) |
| 794 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5631 | |
| Common | 794 | 12.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 856 | |
| n | 855 | |
| r | 688 | |
| i | 684 | |
| e | 646 | |
| a | 367 | |
| o | 297 | 5.3% |
| u | 263 | 4.7% |
| l | 259 | 4.6% |
| E | 227 | 4.0% |
| Other values (14) | 489 |
Common
| Value | Count | Frequency (%) |
| 794 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6425 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 856 | |
| n | 855 | |
| 794 | ||
| r | 688 | |
| i | 684 | |
| e | 646 | |
| a | 367 | |
| o | 297 | 4.6% |
| u | 263 | 4.1% |
| l | 259 | 4.0% |
| Other values (15) | 716 |
room_type
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| Entire home/apt | |
|---|---|
| Private room |
Length
| Max length | 15 |
|---|---|
| Median length | 15 |
| Mean length | 14.069909 |
| Min length | 12 |
Characters and Unicode
| Total characters | 4629 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Entire home/apt |
|---|---|
| 2nd row | Entire home/apt |
| 3rd row | Entire home/apt |
| 4th row | Entire home/apt |
| 5th row | Entire home/apt |
Common Values
| Value | Count | Frequency (%) |
| Entire home/apt | 227 | |
| Private room | 102 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| entire | 227 | |
| home/apt | 227 | |
| private | 102 | |
| room | 102 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 556 | |
| e | 556 | |
| r | 431 | |
| o | 431 | |
| i | 329 | 7.1% |
| 329 | 7.1% | |
| m | 329 | 7.1% |
| a | 329 | 7.1% |
| E | 227 | 4.9% |
| n | 227 | 4.9% |
| Other values (5) | 885 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3744 | |
| Space Separator | 329 | 7.1% |
| Uppercase Letter | 329 | 7.1% |
| Other Punctuation | 227 | 4.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 556 | |
| e | 556 | |
| r | 431 | |
| o | 431 | |
| i | 329 | |
| m | 329 | |
| a | 329 | |
| n | 227 | |
| h | 227 | |
| p | 227 |
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 227 | |
| P | 102 |
Space Separator
| Value | Count | Frequency (%) |
| 329 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 227 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4073 | |
| Common | 556 | 12.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 556 | |
| e | 556 | |
| r | 431 | |
| o | 431 | |
| i | 329 | |
| m | 329 | |
| a | 329 | |
| E | 227 | |
| n | 227 | |
| h | 227 | |
| Other values (3) | 431 |
Common
| Value | Count | Frequency (%) |
| 329 | ||
| / | 227 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4629 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 556 | |
| e | 556 | |
| r | 431 | |
| o | 431 | |
| i | 329 | 7.1% |
| 329 | 7.1% | |
| m | 329 | 7.1% |
| a | 329 | 7.1% |
| E | 227 | 4.9% |
| n | 227 | 4.9% |
| Other values (5) | 885 |
accommodates
Real number (ℝ)
| Distinct | 14 |
|---|---|
| Distinct (%) | 4.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.7416413 |
| Minimum | 1 |
|---|---|
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 16 |
| Range | 15 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.199667 |
|---|---|
| Coefficient of variation (CV) | 0.58788827 |
| Kurtosis | 4.6850918 |
| Mean | 3.7416413 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.7703792 |
| Sum | 1231 |
| Variance | 4.8385351 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 2 | 112 | |
| 4 | 82 | |
| 3 | 39 | 11.9% |
| 6 | 32 | 9.7% |
| 5 | 24 | 7.3% |
| 1 | 15 | 4.6% |
| 8 | 7 | 2.1% |
| 9 | 6 | 1.8% |
| 10 | 4 | 1.2% |
| 7 | 3 | 0.9% |
| Other values (4) | 5 | 1.5% |
| Value | Count | Frequency (%) |
| 1 | 15 | 4.6% |
| 2 | 112 | |
| 3 | 39 | 11.9% |
| 4 | 82 | |
| 5 | 24 | 7.3% |
| 6 | 32 | 9.7% |
| 7 | 3 | 0.9% |
| 8 | 7 | 2.1% |
| 9 | 6 | 1.8% |
| 10 | 4 | 1.2% |
| Value | Count | Frequency (%) |
| 16 | 1 | 0.3% |
| 13 | 1 | 0.3% |
| 12 | 2 | 0.6% |
| 11 | 1 | 0.3% |
| 10 | 4 | 1.2% |
| 9 | 6 | 1.8% |
| 8 | 7 | 2.1% |
| 7 | 3 | 0.9% |
| 6 | 32 | |
| 5 | 24 |
bathrooms_text
Categorical
HIGH CORRELATION
| Distinct | 21 |
|---|---|
| Distinct (%) | 6.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| 1 bath | |
|---|---|
| 2 baths | |
| 1.5 baths | |
| 1 shared bath | |
| 1 private bath | |
| Other values (16) |
Length
| Max length | 16 |
|---|---|
| Median length | 14 |
| Mean length | 8.118541 |
| Min length | 6 |
Characters and Unicode
| Total characters | 2671 |
|---|---|
| Distinct characters | 27 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 1.8% |
Sample
| 1st row | 1 bath |
|---|---|
| 2nd row | no_info |
| 3rd row | 1 bath |
| 4th row | 1 bath |
| 5th row | 1 bath |
Common Values
| Value | Count | Frequency (%) |
| 1 bath | 142 | |
| 2 baths | 47 | 14.3% |
| 1.5 baths | 30 | 9.1% |
| 1 shared bath | 25 | 7.6% |
| 1 private bath | 20 | 6.1% |
| 3 baths | 16 | 4.9% |
| 2.5 baths | 13 | 4.0% |
| no_info | 7 | 2.1% |
| 4.5 baths | 4 | 1.2% |
| 4 baths | 4 | 1.2% |
| Other values (11) | 21 | 6.4% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 187 | |
| bath | 187 | |
| baths | 132 | |
| 2 | 51 | 7.2% |
| shared | 40 | 5.6% |
| 1.5 | 34 | 4.8% |
| private | 20 | 2.8% |
| 3 | 16 | 2.3% |
| 2.5 | 15 | 2.1% |
| no_info | 7 | 1.0% |
| Other values (8) | 19 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 385 | |
| 379 | ||
| h | 365 | |
| t | 342 | |
| b | 322 | |
| 1 | 222 | |
| s | 169 | |
| 2 | 66 | 2.5% |
| r | 60 | 2.2% |
| e | 60 | 2.2% |
| Other values (17) | 301 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1851 | |
| Space Separator | 379 | 14.2% |
| Decimal Number | 374 | 14.0% |
| Other Punctuation | 54 | 2.0% |
| Connector Punctuation | 7 | 0.3% |
| Uppercase Letter | 3 | 0.1% |
| Dash Punctuation | 3 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 385 | |
| h | 365 | |
| t | 342 | |
| b | 322 | |
| s | 169 | |
| r | 60 | 3.2% |
| e | 60 | 3.2% |
| d | 40 | 2.2% |
| i | 27 | 1.5% |
| v | 20 | 1.1% |
| Other values (5) | 61 | 3.3% |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 222 | |
| 2 | 66 | 17.6% |
| 5 | 57 | 15.2% |
| 3 | 17 | 4.5% |
| 4 | 8 | 2.1% |
| 0 | 3 | 0.8% |
| 7 | 1 | 0.3% |
Space Separator
| Value | Count | Frequency (%) |
| 379 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 54 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 7 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 3 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 3 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1854 | |
| Common | 817 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 385 | |
| h | 365 | |
| t | 342 | |
| b | 322 | |
| s | 169 | |
| r | 60 | 3.2% |
| e | 60 | 3.2% |
| d | 40 | 2.2% |
| i | 27 | 1.5% |
| v | 20 | 1.1% |
| Other values (6) | 64 | 3.5% |
Common
| Value | Count | Frequency (%) |
| 379 | ||
| 1 | 222 | |
| 2 | 66 | 8.1% |
| 5 | 57 | 7.0% |
| . | 54 | 6.6% |
| 3 | 17 | 2.1% |
| 4 | 8 | 1.0% |
| _ | 7 | 0.9% |
| - | 3 | 0.4% |
| 0 | 3 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2671 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 385 | |
| 379 | ||
| h | 365 | |
| t | 342 | |
| b | 322 | |
| 1 | 222 | |
| s | 169 | |
| 2 | 66 | 2.5% |
| r | 60 | 2.2% |
| e | 60 | 2.2% |
| Other values (17) | 301 |
bedrooms
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
beds
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
amenities
Text
UNIQUE
| Distinct | 329 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 1354 |
|---|---|
| Median length | 544 |
| Mean length | 483.5076 |
| Min length | 2 |
Characters and Unicode
| Total characters | 159074 |
|---|---|
| Distinct characters | 72 |
| Distinct categories | 9 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 329 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | ["Hangers", "Body soap", "Elevator", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "TV", "Iron", "Dining table", "Ceiling fan", "Essentials", "Public or shared beach access \u2013 Beachfront", "Refrigerator", "Coffee maker: drip coffee maker", "Gas stove", "Hot water", "Extra pillows and blankets", "Kitchen", "Air conditioning"] |
|---|---|
| 2nd row | ["TV", "Kitchen", "Wifi", "Elevator", "Air conditioning"] |
| 3rd row | ["Clothing storage: wardrobe", "Public or shared beach access", "Hangers", "Esmaltec gas stove", "Elevator", "Cooking basics", "32\" HDTV", "Room-darkening shades", "Bed linens", "Microwave", "Free washer \u2013 In unit", "Drying rack for clothing", "Dishes and silverware", "Cleaning products", "Courtyard view", "Coffee maker", "Iron", "Laundromat nearby", "Dining table", "Ceiling fan", "Blender", "Essentials", "Hot water kettle", "Refrigerator", "Host greets you", "EV charger", "Mountain view", "Hot water", "Oven", "Kitchen", "Window AC unit", "Wifi \u2013 14 Mbps"] |
| 4th row | ["Patio or balcony", "Hangers", "Paid parking off premises", "Elevator", "Cooking basics", "Private entrance", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "Self check-in", "Iron", "Building staff", "Essentials", "TV with standard cable", "Refrigerator", "Stove", "Smoking allowed", "Bathtub", "Hot water", "Oven", "Air conditioning", "Kitchen", "Luggage dropoff allowed", "Coffee maker"] |
| 5th row | ["Clothing storage: wardrobe", "Dedicated workspace", "Public or shared beach access", "Hangers", "Elevator", "Cooking basics", "Room-darkening shades", "Bed linens", "Single level home", "Microwave", "Wifi", "Drying rack for clothing", "Dishes and silverware", "Hair dryer", "Iron", "Laundromat nearby", "Paid street parking off premises", "Dining table", "Ceiling fan", "Books and reading material", "Blender", "Essentials", "Hammock", "TV with standard cable", "Refrigerator", "Stove", "Host greets you", "Hot water", "Oven", "Kitchen", "Window AC unit", "Coffee maker"] |
| Value | Count | Frequency (%) |
| and | 448 | 2.3% |
| allowed | 430 | 2.2% |
| wifi | 340 | 1.8% |
| hot | 322 | 1.7% |
| parking | 309 | 1.6% |
| kitchen | 307 | 1.6% |
| water | 301 | 1.6% |
| coffee | 299 | 1.6% |
| essentials | 283 | 1.5% |
| dryer | 257 | 1.3% |
| Other values (440) | 15916 |
Most occurring characters
| Value | Count | Frequency (%) |
| 18894 | 11.9% | |
| " | 17619 | 11.1% |
| e | 12585 | 7.9% |
| a | 9518 | 6.0% |
| r | 9161 | 5.8% |
| , | 8555 | 5.4% |
| i | 8429 | 5.3% |
| o | 7688 | 4.8% |
| n | 7272 | 4.6% |
| s | 7036 | 4.4% |
| Other values (62) | 52317 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 101584 | |
| Other Punctuation | 26681 | 16.8% |
| Space Separator | 18894 | 11.9% |
| Uppercase Letter | 9771 | 6.1% |
| Decimal Number | 1199 | 0.8% |
| Close Punctuation | 332 | 0.2% |
| Open Punctuation | 331 | 0.2% |
| Dash Punctuation | 275 | 0.2% |
| Math Symbol | 7 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 12585 | |
| a | 9518 | 9.4% |
| r | 9161 | 9.0% |
| i | 8429 | 8.3% |
| o | 7688 | 7.6% |
| n | 7272 | 7.2% |
| s | 7036 | 6.9% |
| t | 6458 | 6.4% |
| l | 4460 | 4.4% |
| d | 4120 | 4.1% |
| Other values (15) | 24857 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 1033 | 10.6% |
| H | 1004 | 10.3% |
| B | 847 | 8.7% |
| E | 721 | 7.4% |
| D | 719 | 7.4% |
| S | 660 | 6.8% |
| W | 613 | 6.3% |
| P | 564 | 5.8% |
| F | 495 | 5.1% |
| L | 461 | 4.7% |
| Other values (13) | 2654 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 288 | |
| 2 | 282 | |
| 1 | 256 | |
| 3 | 223 | |
| 9 | 53 | 4.4% |
| 4 | 48 | 4.0% |
| 5 | 26 | 2.2% |
| 7 | 11 | 0.9% |
| 6 | 9 | 0.8% |
| 8 | 3 | 0.3% |
Other Punctuation
| Value | Count | Frequency (%) |
| " | 17619 | |
| , | 8555 | |
| \ | 310 | 1.2% |
| : | 173 | 0.6% |
| / | 16 | 0.1% |
| . | 7 | < 0.1% |
| ' | 1 | < 0.1% |
Close Punctuation
| Value | Count | Frequency (%) |
| ] | 329 | |
| ) | 3 | 0.9% |
Open Punctuation
| Value | Count | Frequency (%) |
| [ | 329 | |
| ( | 2 | 0.6% |
Space Separator
| Value | Count | Frequency (%) |
| 18894 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 275 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 7 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111355 | |
| Common | 47719 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 12585 | 11.3% |
| a | 9518 | 8.5% |
| r | 9161 | 8.2% |
| i | 8429 | 7.6% |
| o | 7688 | 6.9% |
| n | 7272 | 6.5% |
| s | 7036 | 6.3% |
| t | 6458 | 5.8% |
| l | 4460 | 4.0% |
| d | 4120 | 3.7% |
| Other values (38) | 34628 |
Common
| Value | Count | Frequency (%) |
| 18894 | ||
| " | 17619 | |
| , | 8555 | |
| ] | 329 | 0.7% |
| [ | 329 | 0.7% |
| \ | 310 | 0.6% |
| 0 | 288 | 0.6% |
| 2 | 282 | 0.6% |
| - | 275 | 0.6% |
| 1 | 256 | 0.5% |
| Other values (14) | 582 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 159074 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 18894 | 11.9% | |
| " | 17619 | 11.1% |
| e | 12585 | 7.9% |
| a | 9518 | 6.0% |
| r | 9161 | 5.8% |
| , | 8555 | 5.4% |
| i | 8429 | 5.3% |
| o | 7688 | 4.8% |
| n | 7272 | 4.6% |
| s | 7036 | 4.4% |
| Other values (62) | 52317 |
price
Real number (ℝ)
| Distinct | 200 |
|---|---|
| Distinct (%) | 60.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 448.53799 |
| Minimum | 101 |
|---|---|
| Maximum | 2600 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 101 |
|---|---|
| 5-th percentile | 130 |
| Q1 | 195 |
| median | 296 |
| Q3 | 500 |
| 95-th percentile | 1413.4 |
| Maximum | 2600 |
| Range | 2499 |
| Interquartile range (IQR) | 305 |
Descriptive statistics
| Standard deviation | 437.52131 |
|---|---|
| Coefficient of variation (CV) | 0.97543868 |
| Kurtosis | 7.7569011 |
| Mean | 448.53799 |
| Median Absolute Deviation (MAD) | 116 |
| Skewness | 2.6237642 |
| Sum | 147569 |
| Variance | 191424.9 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 250 | 11 | 3.3% |
| 180 | 10 | 3.0% |
| 300 | 9 | 2.7% |
| 200 | 9 | 2.7% |
| 400 | 8 | 2.4% |
| 500 | 8 | 2.4% |
| 130 | 7 | 2.1% |
| 150 | 7 | 2.1% |
| 350 | 6 | 1.8% |
| 319 | 5 | 1.5% |
| Other values (190) | 249 |
| Value | Count | Frequency (%) |
| 101 | 2 | 0.6% |
| 102 | 1 | 0.3% |
| 104 | 1 | 0.3% |
| 105 | 1 | 0.3% |
| 107 | 1 | 0.3% |
| 109 | 2 | 0.6% |
| 120 | 5 | |
| 126 | 1 | 0.3% |
| 130 | 7 | |
| 133 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 2600 | 1 | |
| 2452 | 2 | |
| 2400 | 1 | |
| 2358 | 1 | |
| 2354 | 1 | |
| 2054 | 1 | |
| 2000 | 1 | |
| 1716 | 1 | |
| 1700 | 1 | |
| 1660 | 1 |
minimum_nights
Real number (ℝ)
HIGH CORRELATION
| Distinct | 16 |
|---|---|
| Distinct (%) | 4.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.8510638 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 7 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 6.4296621 |
|---|---|
| Coefficient of variation (CV) | 1.6695808 |
| Kurtosis | 116.88773 |
| Mean | 3.8510638 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 9.9040279 |
| Sum | 1267 |
| Variance | 41.340555 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 2 | 96 | |
| 3 | 84 | |
| 1 | 41 | |
| 4 | 39 | |
| 5 | 35 | 10.6% |
| 7 | 14 | 4.3% |
| 6 | 9 | 2.7% |
| 8 | 2 | 0.6% |
| 10 | 2 | 0.6% |
| 28 | 1 | 0.3% |
| Other values (6) | 6 | 1.8% |
| Value | Count | Frequency (%) |
| 1 | 41 | |
| 2 | 96 | |
| 3 | 84 | |
| 4 | 39 | |
| 5 | 35 | 10.6% |
| 6 | 9 | 2.7% |
| 7 | 14 | 4.3% |
| 8 | 2 | 0.6% |
| 10 | 2 | 0.6% |
| 14 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 90 | 1 | 0.3% |
| 60 | 1 | 0.3% |
| 30 | 1 | 0.3% |
| 28 | 1 | 0.3% |
| 21 | 1 | 0.3% |
| 20 | 1 | 0.3% |
| 14 | 1 | 0.3% |
| 10 | 2 | 0.6% |
| 8 | 2 | 0.6% |
| 7 | 14 |
maximum_nights
Real number (ℝ)
HIGH CORRELATION
| Distinct | 44 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 148.18541 |
| Minimum | 8 |
|---|---|
| Maximum | 1124 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 8 |
|---|---|
| 5-th percentile | 15 |
| Q1 | 30 |
| median | 90 |
| Q3 | 180 |
| 95-th percentile | 404 |
| Maximum | 1124 |
| Range | 1116 |
| Interquartile range (IQR) | 150 |
Descriptive statistics
| Standard deviation | 187.52489 |
|---|---|
| Coefficient of variation (CV) | 1.2654747 |
| Kurtosis | 7.7378301 |
| Mean | 148.18541 |
| Median Absolute Deviation (MAD) | 60 |
| Skewness | 2.5652693 |
| Sum | 48753 |
| Variance | 35165.584 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 90 | 80 | |
| 30 | 60 | |
| 365 | 35 | |
| 180 | 26 | 7.9% |
| 60 | 22 | 6.7% |
| 15 | 16 | 4.9% |
| 89 | 12 | 3.6% |
| 730 | 5 | 1.5% |
| 14 | 5 | 1.5% |
| 28 | 5 | 1.5% |
| Other values (34) | 63 |
| Value | Count | Frequency (%) |
| 8 | 1 | 0.3% |
| 9 | 1 | 0.3% |
| 10 | 5 | 1.5% |
| 14 | 5 | 1.5% |
| 15 | 16 | |
| 20 | 5 | 1.5% |
| 21 | 3 | 0.9% |
| 26 | 1 | 0.3% |
| 28 | 5 | 1.5% |
| 29 | 2 | 0.6% |
| Value | Count | Frequency (%) |
| 1124 | 1 | 0.3% |
| 1123 | 1 | 0.3% |
| 1000 | 2 | 0.6% |
| 800 | 1 | 0.3% |
| 760 | 2 | 0.6% |
| 750 | 1 | 0.3% |
| 730 | 5 | |
| 720 | 1 | 0.3% |
| 500 | 1 | 0.3% |
| 420 | 2 | 0.6% |
minimum_minimum_nights
Real number (ℝ)
HIGH CORRELATION
| Distinct | 15 |
|---|---|
| Distinct (%) | 4.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.5835866 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 7 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 6.292163 |
|---|---|
| Coefficient of variation (CV) | 1.7558284 |
| Kurtosis | 128.84179 |
| Mean | 3.5835866 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 10.515376 |
| Sum | 1179 |
| Variance | 39.591315 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 2 | 101 | |
| 3 | 82 | |
| 1 | 52 | |
| 4 | 38 | 11.6% |
| 5 | 30 | 9.1% |
| 7 | 14 | 4.3% |
| 6 | 3 | 0.9% |
| 8 | 2 | 0.6% |
| 21 | 1 | 0.3% |
| 14 | 1 | 0.3% |
| Other values (5) | 5 | 1.5% |
| Value | Count | Frequency (%) |
| 1 | 52 | |
| 2 | 101 | |
| 3 | 82 | |
| 4 | 38 | 11.6% |
| 5 | 30 | 9.1% |
| 6 | 3 | 0.9% |
| 7 | 14 | 4.3% |
| 8 | 2 | 0.6% |
| 10 | 1 | 0.3% |
| 14 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 90 | 1 | 0.3% |
| 60 | 1 | 0.3% |
| 30 | 1 | 0.3% |
| 21 | 1 | 0.3% |
| 20 | 1 | 0.3% |
| 14 | 1 | 0.3% |
| 10 | 1 | 0.3% |
| 8 | 2 | 0.6% |
| 7 | 14 | |
| 6 | 3 | 0.9% |
maximum_minimum_nights
Real number (ℝ)
HIGH CORRELATION
| Distinct | 18 |
|---|---|
| Distinct (%) | 5.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.5410334 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 9.6 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 6.6451193 |
|---|---|
| Coefficient of variation (CV) | 1.4633496 |
| Kurtosis | 99.045394 |
| Mean | 4.5410334 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 8.8730948 |
| Sum | 1494 |
| Variance | 44.15761 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 2 | 75 | |
| 3 | 61 | |
| 5 | 54 | |
| 4 | 39 | |
| 1 | 37 | |
| 7 | 28 | 8.5% |
| 6 | 14 | 4.3% |
| 10 | 8 | 2.4% |
| 30 | 2 | 0.6% |
| 9 | 2 | 0.6% |
| Other values (8) | 9 | 2.7% |
| Value | Count | Frequency (%) |
| 1 | 37 | |
| 2 | 75 | |
| 3 | 61 | |
| 4 | 39 | |
| 5 | 54 | |
| 6 | 14 | 4.3% |
| 7 | 28 | 8.5% |
| 8 | 2 | 0.6% |
| 9 | 2 | 0.6% |
| 10 | 8 | 2.4% |
| Value | Count | Frequency (%) |
| 90 | 1 | 0.3% |
| 60 | 1 | 0.3% |
| 30 | 2 | 0.6% |
| 28 | 1 | 0.3% |
| 21 | 1 | 0.3% |
| 20 | 1 | 0.3% |
| 14 | 1 | 0.3% |
| 11 | 1 | 0.3% |
| 10 | 8 | |
| 9 | 2 | 0.6% |
minimum_maximum_nights
Real number (ℝ)
HIGH CORRELATION
| Distinct | 44 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 333.25836 |
| Minimum | 7 |
|---|---|
| Maximum | 1125 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 15 |
| Q1 | 30 |
| median | 90 |
| Q3 | 365 |
| 95-th percentile | 1125 |
| Maximum | 1125 |
| Range | 1118 |
| Interquartile range (IQR) | 335 |
Descriptive statistics
| Standard deviation | 415.81636 |
|---|---|
| Coefficient of variation (CV) | 1.2477297 |
| Kurtosis | -0.3007972 |
| Mean | 333.25836 |
| Median Absolute Deviation (MAD) | 70 |
| Skewness | 1.1867372 |
| Sum | 109642 |
| Variance | 172903.25 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 90 | 63 | |
| 1125 | 60 | |
| 30 | 44 | |
| 365 | 30 | |
| 180 | 22 | 6.7% |
| 60 | 20 | 6.1% |
| 15 | 14 | 4.3% |
| 89 | 8 | 2.4% |
| 20 | 6 | 1.8% |
| 730 | 5 | 1.5% |
| Other values (34) | 57 |
| Value | Count | Frequency (%) |
| 7 | 1 | 0.3% |
| 8 | 1 | 0.3% |
| 9 | 1 | 0.3% |
| 10 | 4 | 1.2% |
| 14 | 4 | 1.2% |
| 15 | 14 | |
| 20 | 6 | |
| 21 | 3 | 0.9% |
| 26 | 1 | 0.3% |
| 28 | 4 | 1.2% |
| Value | Count | Frequency (%) |
| 1125 | 60 | |
| 1124 | 1 | 0.3% |
| 1123 | 1 | 0.3% |
| 1000 | 2 | 0.6% |
| 800 | 1 | 0.3% |
| 760 | 2 | 0.6% |
| 750 | 1 | 0.3% |
| 730 | 5 | 1.5% |
| 720 | 1 | 0.3% |
| 500 | 1 | 0.3% |
maximum_maximum_nights
Real number (ℝ)
HIGH CORRELATION
| Distinct | 42 |
|---|---|
| Distinct (%) | 12.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 351.19453 |
| Minimum | 8 |
|---|---|
| Maximum | 1125 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 8 |
|---|---|
| 5-th percentile | 15 |
| Q1 | 31 |
| median | 90 |
| Q3 | 365 |
| 95-th percentile | 1125 |
| Maximum | 1125 |
| Range | 1117 |
| Interquartile range (IQR) | 334 |
Descriptive statistics
| Standard deviation | 427.72369 |
|---|---|
| Coefficient of variation (CV) | 1.217911 |
| Kurtosis | -0.57104051 |
| Mean | 351.19453 |
| Median Absolute Deviation (MAD) | 75 |
| Skewness | 1.0845591 |
| Sum | 115543 |
| Variance | 182947.55 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 1125 | 66 | |
| 90 | 60 | |
| 30 | 44 | |
| 365 | 30 | |
| 180 | 23 | 7.0% |
| 60 | 20 | 6.1% |
| 15 | 14 | 4.3% |
| 89 | 8 | 2.4% |
| 730 | 5 | 1.5% |
| 20 | 5 | 1.5% |
| Other values (32) | 54 |
| Value | Count | Frequency (%) |
| 8 | 1 | 0.3% |
| 9 | 1 | 0.3% |
| 10 | 4 | 1.2% |
| 14 | 4 | 1.2% |
| 15 | 14 | |
| 20 | 5 | 1.5% |
| 21 | 3 | 0.9% |
| 26 | 1 | 0.3% |
| 28 | 4 | 1.2% |
| 29 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 1125 | 66 | |
| 1124 | 1 | 0.3% |
| 1123 | 1 | 0.3% |
| 1000 | 2 | 0.6% |
| 800 | 1 | 0.3% |
| 760 | 2 | 0.6% |
| 750 | 1 | 0.3% |
| 730 | 5 | 1.5% |
| 720 | 1 | 0.3% |
| 500 | 1 | 0.3% |
minimum_nights_avg_ntm
Real number (ℝ)
HIGH CORRELATION
| Distinct | 42 |
|---|---|
| Distinct (%) | 12.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.9240122 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 7 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 6.4193781 |
|---|---|
| Coefficient of variation (CV) | 1.6359221 |
| Kurtosis | 116.91026 |
| Mean | 3.9240122 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 9.8719307 |
| Sum | 1291 |
| Variance | 41.208416 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 2 | 76 | |
| 3 | 66 | |
| 1 | 39 | |
| 5 | 33 | |
| 4 | 30 | 9.1% |
| 7 | 11 | 3.3% |
| 3.1 | 10 | 3.0% |
| 2.3 | 6 | 1.8% |
| 2.1 | 6 | 1.8% |
| 3.2 | 5 | 1.5% |
| Other values (32) | 47 |
| Value | Count | Frequency (%) |
| 1 | 39 | |
| 1.3 | 1 | 0.3% |
| 2 | 76 | |
| 2.1 | 6 | 1.8% |
| 2.2 | 3 | 0.9% |
| 2.3 | 6 | 1.8% |
| 2.4 | 1 | 0.3% |
| 2.6 | 1 | 0.3% |
| 2.7 | 1 | 0.3% |
| 2.8 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 90 | 1 | |
| 60 | 1 | |
| 30 | 1 | |
| 23.2 | 1 | |
| 21 | 1 | |
| 20 | 1 | |
| 18 | 1 | |
| 14 | 1 | |
| 10 | 1 | |
| 9.9 | 1 |
maximum_nights_avg_ntm
Real number (ℝ)
HIGH CORRELATION
| Distinct | 49 |
|---|---|
| Distinct (%) | 14.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 338.80152 |
| Minimum | 8 |
|---|---|
| Maximum | 1125 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 8 |
|---|---|
| 5-th percentile | 15 |
| Q1 | 31 |
| median | 90 |
| Q3 | 365 |
| 95-th percentile | 1125 |
| Maximum | 1125 |
| Range | 1117 |
| Interquartile range (IQR) | 334 |
Descriptive statistics
| Standard deviation | 414.87707 |
|---|---|
| Coefficient of variation (CV) | 1.2245431 |
| Kurtosis | -0.34264162 |
| Mean | 338.80152 |
| Median Absolute Deviation (MAD) | 75 |
| Skewness | 1.1596591 |
| Sum | 111465.7 |
| Variance | 172122.98 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 1125 | 60 | |
| 90 | 59 | |
| 30 | 44 | |
| 365 | 30 | |
| 180 | 22 | 6.7% |
| 60 | 20 | 6.1% |
| 15 | 13 | 4.0% |
| 89 | 8 | 2.4% |
| 20 | 5 | 1.5% |
| 360 | 5 | 1.5% |
| Other values (39) | 63 |
| Value | Count | Frequency (%) |
| 8 | 1 | 0.3% |
| 9 | 1 | 0.3% |
| 10 | 4 | 1.2% |
| 14 | 4 | 1.2% |
| 14.8 | 1 | 0.3% |
| 15 | 13 | |
| 20 | 5 | 1.5% |
| 21 | 3 | 0.9% |
| 26 | 1 | 0.3% |
| 28 | 4 | 1.2% |
| Value | Count | Frequency (%) |
| 1125 | 60 | |
| 1124 | 1 | 0.3% |
| 1123 | 1 | 0.3% |
| 1000 | 2 | 0.6% |
| 800 | 1 | 0.3% |
| 760 | 2 | 0.6% |
| 750 | 1 | 0.3% |
| 730 | 5 | 1.5% |
| 720 | 1 | 0.3% |
| 535.2 | 2 | 0.6% |
has_availability
Boolean
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.9 KiB |
| True | |
|---|---|
| False | 12 |
| Value | Count | Frequency (%) |
| True | 317 | |
| False | 12 | 3.6% |
availability_30
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 31 |
|---|---|
| Distinct (%) | 9.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.927052 |
| Minimum | 0 |
|---|---|
| Maximum | 30 |
| Zeros | 74 |
| Zeros (%) | 22.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 12 |
| Q3 | 28 |
| 95-th percentile | 30 |
| Maximum | 30 |
| Range | 30 |
| Interquartile range (IQR) | 27 |
Descriptive statistics
| Standard deviation | 11.921267 |
|---|---|
| Coefficient of variation (CV) | 0.85597925 |
| Kurtosis | -1.652445 |
| Mean | 13.927052 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 0.15261985 |
| Sum | 4582 |
| Variance | 142.11661 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 0 | 74 | |
| 30 | 41 | |
| 29 | 21 | 6.4% |
| 28 | 21 | 6.4% |
| 6 | 15 | 4.6% |
| 1 | 14 | 4.3% |
| 27 | 12 | 3.6% |
| 5 | 11 | 3.3% |
| 13 | 9 | 2.7% |
| 4 | 9 | 2.7% |
| Other values (21) | 102 |
| Value | Count | Frequency (%) |
| 0 | 74 | |
| 1 | 14 | 4.3% |
| 2 | 7 | 2.1% |
| 3 | 4 | 1.2% |
| 4 | 9 | 2.7% |
| 5 | 11 | 3.3% |
| 6 | 15 | 4.6% |
| 7 | 7 | 2.1% |
| 8 | 6 | 1.8% |
| 9 | 3 | 0.9% |
| Value | Count | Frequency (%) |
| 30 | 41 | |
| 29 | 21 | |
| 28 | 21 | |
| 27 | 12 | 3.6% |
| 26 | 3 | 0.9% |
| 25 | 9 | 2.7% |
| 24 | 5 | 1.5% |
| 23 | 8 | 2.4% |
| 22 | 2 | 0.6% |
| 21 | 5 | 1.5% |
availability_60
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 60 |
|---|---|
| Distinct (%) | 18.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.580547 |
| Minimum | 0 |
|---|---|
| Maximum | 60 |
| Zeros | 58 |
| Zeros (%) | 17.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 26 |
| Q3 | 54 |
| 95-th percentile | 60 |
| Maximum | 60 |
| Range | 60 |
| Interquartile range (IQR) | 48 |
Descriptive statistics
| Standard deviation | 22.70047 |
|---|---|
| Coefficient of variation (CV) | 0.79426295 |
| Kurtosis | -1.5163708 |
| Mean | 28.580547 |
| Median Absolute Deviation (MAD) | 24 |
| Skewness | 0.13423288 |
| Sum | 9403 |
| Variance | 515.31133 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 58 | 17.6% |
| 60 | 35 | 10.6% |
| 58 | 19 | 5.8% |
| 59 | 15 | 4.6% |
| 1 | 7 | 2.1% |
| 10 | 7 | 2.1% |
| 38 | 7 | 2.1% |
| 26 | 6 | 1.8% |
| 7 | 6 | 1.8% |
| 31 | 6 | 1.8% |
| Other values (50) | 163 |
| Value | Count | Frequency (%) |
| 0 | 58 | |
| 1 | 7 | 2.1% |
| 2 | 4 | 1.2% |
| 3 | 4 | 1.2% |
| 4 | 4 | 1.2% |
| 5 | 4 | 1.2% |
| 6 | 2 | 0.6% |
| 7 | 6 | 1.8% |
| 8 | 5 | 1.5% |
| 9 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 60 | 35 | |
| 59 | 15 | |
| 58 | 19 | |
| 57 | 6 | 1.8% |
| 56 | 4 | 1.2% |
| 55 | 2 | 0.6% |
| 54 | 3 | 0.9% |
| 53 | 4 | 1.2% |
| 52 | 4 | 1.2% |
| 51 | 2 | 0.6% |
availability_90
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 83 |
|---|---|
| Distinct (%) | 25.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 48.285714 |
| Minimum | 0 |
|---|---|
| Maximum | 90 |
| Zeros | 48 |
| Zeros (%) | 14.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 17 |
| median | 50 |
| Q3 | 83 |
| 95-th percentile | 90 |
| Maximum | 90 |
| Range | 90 |
| Interquartile range (IQR) | 66 |
Descriptive statistics
| Standard deviation | 32.791616 |
|---|---|
| Coefficient of variation (CV) | 0.6791163 |
| Kurtosis | -1.3873489 |
| Mean | 48.285714 |
| Median Absolute Deviation (MAD) | 33 |
| Skewness | -0.15838278 |
| Sum | 15886 |
| Variance | 1075.2901 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 48 | 14.6% |
| 90 | 35 | 10.6% |
| 88 | 17 | 5.2% |
| 89 | 15 | 4.6% |
| 38 | 9 | 2.7% |
| 51 | 8 | 2.4% |
| 53 | 6 | 1.8% |
| 87 | 6 | 1.8% |
| 45 | 6 | 1.8% |
| 49 | 5 | 1.5% |
| Other values (73) | 174 |
| Value | Count | Frequency (%) |
| 0 | 48 | |
| 1 | 4 | 1.2% |
| 2 | 3 | 0.9% |
| 3 | 2 | 0.6% |
| 5 | 1 | 0.3% |
| 6 | 3 | 0.9% |
| 7 | 2 | 0.6% |
| 9 | 2 | 0.6% |
| 10 | 2 | 0.6% |
| 11 | 3 | 0.9% |
| Value | Count | Frequency (%) |
| 90 | 35 | |
| 89 | 15 | |
| 88 | 17 | |
| 87 | 6 | 1.8% |
| 86 | 4 | 1.2% |
| 85 | 2 | 0.6% |
| 84 | 3 | 0.9% |
| 83 | 4 | 1.2% |
| 82 | 3 | 0.9% |
| 81 | 2 | 0.6% |
availability_365
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 190 |
|---|---|
| Distinct (%) | 57.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 207.70517 |
| Minimum | 0 |
|---|---|
| Maximum | 365 |
| Zeros | 30 |
| Zeros (%) | 9.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 103 |
| median | 211 |
| Q3 | 328 |
| 95-th percentile | 365 |
| Maximum | 365 |
| Range | 365 |
| Interquartile range (IQR) | 225 |
Descriptive statistics
| Standard deviation | 127.17434 |
|---|---|
| Coefficient of variation (CV) | 0.61228298 |
| Kurtosis | -1.3443937 |
| Mean | 207.70517 |
| Median Absolute Deviation (MAD) | 116 |
| Skewness | -0.26591993 |
| Sum | 68335 |
| Variance | 16173.312 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 30 | 9.1% |
| 365 | 22 | 6.7% |
| 363 | 12 | 3.6% |
| 364 | 4 | 1.2% |
| 362 | 4 | 1.2% |
| 359 | 4 | 1.2% |
| 291 | 4 | 1.2% |
| 328 | 3 | 0.9% |
| 251 | 3 | 0.9% |
| 205 | 3 | 0.9% |
| Other values (180) | 240 |
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 2 | 1 | 0.3% |
| 3 | 1 | 0.3% |
| 5 | 1 | 0.3% |
| 6 | 1 | 0.3% |
| 7 | 1 | 0.3% |
| 15 | 1 | 0.3% |
| 19 | 1 | 0.3% |
| 20 | 1 | 0.3% |
| 21 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 365 | 22 | |
| 364 | 4 | 1.2% |
| 363 | 12 | |
| 362 | 4 | 1.2% |
| 361 | 3 | 0.9% |
| 360 | 1 | 0.3% |
| 359 | 4 | 1.2% |
| 358 | 3 | 0.9% |
| 357 | 2 | 0.6% |
| 356 | 2 | 0.6% |
calendar_last_scraped
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| 2023-09-22 | |
|---|---|
| 2023-09-23 |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 3290 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2023-09-22 |
|---|---|
| 2nd row | 2023-09-22 |
| 3rd row | 2023-09-23 |
| 4th row | 2023-09-23 |
| 5th row | 2023-09-22 |
Common Values
| Value | Count | Frequency (%) |
| 2023-09-22 | 219 | |
| 2023-09-23 | 110 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2023-09-22 | 219 | |
| 2023-09-23 | 110 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| - | 658 | |
| 3 | 439 | 13.3% |
| 9 | 329 | 10.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2632 | |
| Dash Punctuation | 658 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| 3 | 439 | 16.7% |
| 9 | 329 | 12.5% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 658 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3290 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| - | 658 | |
| 3 | 439 | 13.3% |
| 9 | 329 | 10.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3290 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 1206 | |
| 0 | 658 | |
| - | 658 | |
| 3 | 439 | 13.3% |
| 9 | 329 | 10.0% |
number_of_reviews
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 155 |
|---|---|
| Distinct (%) | 47.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 77.273556 |
| Minimum | 0 |
|---|---|
| Maximum | 611 |
| Zeros | 26 |
| Zeros (%) | 7.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 8 |
| median | 37 |
| Q3 | 109 |
| 95-th percentile | 270.2 |
| Maximum | 611 |
| Range | 611 |
| Interquartile range (IQR) | 101 |
Descriptive statistics
| Standard deviation | 102.38773 |
|---|---|
| Coefficient of variation (CV) | 1.3250035 |
| Kurtosis | 6.7755044 |
| Mean | 77.273556 |
| Median Absolute Deviation (MAD) | 35 |
| Skewness | 2.3340169 |
| Sum | 25423 |
| Variance | 10483.248 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 26 | 7.9% |
| 1 | 16 | 4.9% |
| 8 | 12 | 3.6% |
| 4 | 10 | 3.0% |
| 6 | 8 | 2.4% |
| 11 | 7 | 2.1% |
| 95 | 6 | 1.8% |
| 2 | 6 | 1.8% |
| 33 | 6 | 1.8% |
| 29 | 5 | 1.5% |
| Other values (145) | 227 |
| Value | Count | Frequency (%) |
| 0 | 26 | |
| 1 | 16 | |
| 2 | 6 | 1.8% |
| 3 | 5 | 1.5% |
| 4 | 10 | 3.0% |
| 5 | 5 | 1.5% |
| 6 | 8 | 2.4% |
| 7 | 1 | 0.3% |
| 8 | 12 | |
| 9 | 3 | 0.9% |
| Value | Count | Frequency (%) |
| 611 | 1 | |
| 577 | 1 | |
| 542 | 1 | |
| 540 | 1 | |
| 446 | 1 | |
| 424 | 1 | |
| 421 | 1 | |
| 420 | 1 | |
| 390 | 1 | |
| 389 | 1 |
number_of_reviews_ltm
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 47 |
|---|---|
| Distinct (%) | 14.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.8297872 |
| Minimum | 0 |
|---|---|
| Maximum | 68 |
| Zeros | 104 |
| Zeros (%) | 31.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 3 |
| Q3 | 13 |
| 95-th percentile | 34 |
| Maximum | 68 |
| Range | 68 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 12.627698 |
|---|---|
| Coefficient of variation (CV) | 1.4301248 |
| Kurtosis | 4.4833539 |
| Mean | 8.8297872 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 2.0374406 |
| Sum | 2905 |
| Variance | 159.45874 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=47)
| Value | Count | Frequency (%) |
| 0 | 104 | |
| 1 | 28 | 8.5% |
| 2 | 24 | 7.3% |
| 4 | 17 | 5.2% |
| 8 | 12 | 3.6% |
| 3 | 12 | 3.6% |
| 5 | 8 | 2.4% |
| 13 | 8 | 2.4% |
| 6 | 8 | 2.4% |
| 9 | 7 | 2.1% |
| Other values (37) | 101 |
| Value | Count | Frequency (%) |
| 0 | 104 | |
| 1 | 28 | 8.5% |
| 2 | 24 | 7.3% |
| 3 | 12 | 3.6% |
| 4 | 17 | 5.2% |
| 5 | 8 | 2.4% |
| 6 | 8 | 2.4% |
| 7 | 7 | 2.1% |
| 8 | 12 | 3.6% |
| 9 | 7 | 2.1% |
| Value | Count | Frequency (%) |
| 68 | 1 | |
| 62 | 1 | |
| 61 | 1 | |
| 60 | 1 | |
| 58 | 1 | |
| 53 | 1 | |
| 48 | 2 | |
| 45 | 1 | |
| 40 | 1 | |
| 39 | 2 |
number_of_reviews_l30d
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 8 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5775076 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 232 |
| Zeros (%) | 70.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.1948486 |
|---|---|
| Coefficient of variation (CV) | 2.0689748 |
| Kurtosis | 11.696665 |
| Mean | 0.5775076 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.0413465 |
| Sum | 190 |
| Variance | 1.4276633 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 232 | |
| 1 | 53 | 16.1% |
| 2 | 20 | 6.1% |
| 3 | 12 | 3.6% |
| 4 | 7 | 2.1% |
| 8 | 2 | 0.6% |
| 6 | 2 | 0.6% |
| 5 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 0 | 232 | |
| 1 | 53 | 16.1% |
| 2 | 20 | 6.1% |
| 3 | 12 | 3.6% |
| 4 | 7 | 2.1% |
| 5 | 1 | 0.3% |
| 6 | 2 | 0.6% |
| 8 | 2 | 0.6% |
| Value | Count | Frequency (%) |
| 8 | 2 | 0.6% |
| 6 | 2 | 0.6% |
| 5 | 1 | 0.3% |
| 4 | 7 | 2.1% |
| 3 | 12 | 3.6% |
| 2 | 20 | 6.1% |
| 1 | 53 | 16.1% |
| 0 | 232 |
first_review
Text
| Distinct | 240 |
|---|---|
| Distinct (%) | 72.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 9.7629179 |
| Min length | 7 |
Characters and Unicode
| Total characters | 3212 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 198 ? |
|---|---|
| Unique (%) | 60.2% |
Sample
| 1st row | 2011-11-17 |
|---|---|
| 2nd row | 2011-11-02 |
| 3rd row | 2014-03-03 |
| 4th row | 2010-07-15 |
| 5th row | 2010-06-07 |
| Value | Count | Frequency (%) |
| no_info | 26 | 7.9% |
| 2013-01-03 | 9 | 2.7% |
| 2013-02-14 | 7 | 2.1% |
| 2013-02-13 | 4 | 1.2% |
| 2012-02-21 | 4 | 1.2% |
| 2014-03-05 | 3 | 0.9% |
| 2012-04-02 | 3 | 0.9% |
| 2013-01-04 | 3 | 0.9% |
| 2013-01-02 | 3 | 0.9% |
| 2013-02-18 | 3 | 0.9% |
| Other values (230) | 264 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 1 | 615 | |
| 2 | 612 | |
| - | 606 | |
| 3 | 180 | 5.6% |
| 4 | 81 | 2.5% |
| 6 | 57 | 1.8% |
| 7 | 54 | 1.7% |
| n | 52 | 1.6% |
| o | 52 | 1.6% |
| Other values (6) | 219 | 6.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2424 | |
| Dash Punctuation | 606 | 18.9% |
| Lowercase Letter | 156 | 4.9% |
| Connector Punctuation | 26 | 0.8% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 1 | 615 | |
| 2 | 612 | |
| 3 | 180 | 7.4% |
| 4 | 81 | 3.3% |
| 6 | 57 | 2.4% |
| 7 | 54 | 2.2% |
| 5 | 52 | 2.1% |
| 8 | 46 | 1.9% |
| 9 | 43 | 1.8% |
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 52 | |
| o | 52 | |
| i | 26 | |
| f | 26 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 606 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 26 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3056 | |
| Latin | 156 | 4.9% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 1 | 615 | |
| 2 | 612 | |
| - | 606 | |
| 3 | 180 | 5.9% |
| 4 | 81 | 2.7% |
| 6 | 57 | 1.9% |
| 7 | 54 | 1.8% |
| 5 | 52 | 1.7% |
| 8 | 46 | 1.5% |
| Other values (2) | 69 | 2.3% |
Latin
| Value | Count | Frequency (%) |
| n | 52 | |
| o | 52 | |
| i | 26 | |
| f | 26 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3212 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 1 | 615 | |
| 2 | 612 | |
| - | 606 | |
| 3 | 180 | 5.6% |
| 4 | 81 | 2.5% |
| 6 | 57 | 1.8% |
| 7 | 54 | 1.7% |
| n | 52 | 1.6% |
| o | 52 | 1.6% |
| Other values (6) | 219 | 6.8% |
last_review
Text
| Distinct | 167 |
|---|---|
| Distinct (%) | 50.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 9.7629179 |
| Min length | 7 |
Characters and Unicode
| Total characters | 3212 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 111 ? |
|---|---|
| Unique (%) | 33.7% |
Sample
| 1st row | 2023-09-11 |
|---|---|
| 2nd row | 2016-08-21 |
| 3rd row | 2023-09-05 |
| 4th row | 2023-09-11 |
| 5th row | 2023-09-07 |
| Value | Count | Frequency (%) |
| no_info | 26 | 7.9% |
| 2023-09-10 | 13 | 4.0% |
| 2023-09-11 | 11 | 3.3% |
| 2023-02-22 | 10 | 3.0% |
| 2023-09-18 | 9 | 2.7% |
| 2023-09-17 | 8 | 2.4% |
| 2023-09-03 | 7 | 2.1% |
| 2023-09-15 | 6 | 1.8% |
| 2023-08-27 | 5 | 1.5% |
| 2023-08-21 | 5 | 1.5% |
| Other values (157) | 229 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 780 | |
| 0 | 709 | |
| - | 606 | |
| 3 | 280 | 8.7% |
| 1 | 268 | 8.3% |
| 9 | 130 | 4.0% |
| 8 | 72 | 2.2% |
| 7 | 58 | 1.8% |
| n | 52 | 1.6% |
| o | 52 | 1.6% |
| Other values (6) | 205 | 6.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2424 | |
| Dash Punctuation | 606 | 18.9% |
| Lowercase Letter | 156 | 4.9% |
| Connector Punctuation | 26 | 0.8% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 780 | |
| 0 | 709 | |
| 3 | 280 | 11.6% |
| 1 | 268 | 11.1% |
| 9 | 130 | 5.4% |
| 8 | 72 | 3.0% |
| 7 | 58 | 2.4% |
| 6 | 49 | 2.0% |
| 5 | 42 | 1.7% |
| 4 | 36 | 1.5% |
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 52 | |
| o | 52 | |
| i | 26 | |
| f | 26 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 606 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 26 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3056 | |
| Latin | 156 | 4.9% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 780 | |
| 0 | 709 | |
| - | 606 | |
| 3 | 280 | 9.2% |
| 1 | 268 | 8.8% |
| 9 | 130 | 4.3% |
| 8 | 72 | 2.4% |
| 7 | 58 | 1.9% |
| 6 | 49 | 1.6% |
| 5 | 42 | 1.4% |
| Other values (2) | 62 | 2.0% |
Latin
| Value | Count | Frequency (%) |
| n | 52 | |
| o | 52 | |
| i | 26 | |
| f | 26 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3212 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 780 | |
| 0 | 709 | |
| - | 606 | |
| 3 | 280 | 8.7% |
| 1 | 268 | 8.3% |
| 9 | 130 | 4.0% |
| 8 | 72 | 2.2% |
| 7 | 58 | 1.8% |
| n | 52 | 1.6% |
| o | 52 | 1.6% |
| Other values (6) | 205 | 6.4% |
review_scores_rating
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
review_scores_accuracy
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
review_scores_cleanliness
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
review_scores_checkin
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
review_scores_communication
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
review_scores_location
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
review_scores_value
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
instant_bookable
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.9 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 272 | |
| True | 57 | 17.3% |
calculated_host_listings_count
Real number (ℝ)
HIGH CORRELATION
| Distinct | 13 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.1884498 |
| Minimum | 1 |
|---|---|
| Maximum | 28 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 9 |
| Maximum | 28 |
| Range | 27 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.3442324 |
|---|---|
| Coefficient of variation (CV) | 1.0488584 |
| Kurtosis | 19.015055 |
| Mean | 3.1884498 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.407815 |
| Sum | 1049 |
| Variance | 11.183891 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 1 | 138 | |
| 2 | 52 | 15.8% |
| 3 | 44 | 13.4% |
| 4 | 20 | 6.1% |
| 5 | 17 | 5.2% |
| 8 | 17 | 5.2% |
| 6 | 15 | 4.6% |
| 10 | 9 | 2.7% |
| 7 | 7 | 2.1% |
| 9 | 4 | 1.2% |
| Other values (3) | 6 | 1.8% |
| Value | Count | Frequency (%) |
| 1 | 138 | |
| 2 | 52 | 15.8% |
| 3 | 44 | 13.4% |
| 4 | 20 | 6.1% |
| 5 | 17 | 5.2% |
| 6 | 15 | 4.6% |
| 7 | 7 | 2.1% |
| 8 | 17 | 5.2% |
| 9 | 4 | 1.2% |
| 10 | 9 | 2.7% |
| Value | Count | Frequency (%) |
| 28 | 2 | 0.6% |
| 20 | 1 | 0.3% |
| 11 | 3 | 0.9% |
| 10 | 9 | |
| 9 | 4 | 1.2% |
| 8 | 17 | |
| 7 | 7 | 2.1% |
| 6 | 15 | |
| 5 | 17 | |
| 4 | 20 |
calculated_host_listings_count_entire_homes
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 13 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.3404255 |
| Minimum | 0 |
|---|---|
| Maximum | 26 |
| Zeros | 73 |
| Zeros (%) | 22.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 8 |
| Maximum | 26 |
| Range | 26 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 3.2646818 |
|---|---|
| Coefficient of variation (CV) | 1.3949095 |
| Kurtosis | 18.294336 |
| Mean | 2.3404255 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.4467897 |
| Sum | 770 |
| Variance | 10.658147 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 1 | 131 | |
| 0 | 73 | |
| 3 | 30 | 9.1% |
| 2 | 29 | 8.8% |
| 5 | 14 | 4.3% |
| 8 | 10 | 3.0% |
| 6 | 10 | 3.0% |
| 4 | 9 | 2.7% |
| 10 | 9 | 2.7% |
| 7 | 8 | 2.4% |
| Other values (3) | 6 | 1.8% |
| Value | Count | Frequency (%) |
| 0 | 73 | |
| 1 | 131 | |
| 2 | 29 | 8.8% |
| 3 | 30 | 9.1% |
| 4 | 9 | 2.7% |
| 5 | 14 | 4.3% |
| 6 | 10 | 3.0% |
| 7 | 8 | 2.4% |
| 8 | 10 | 3.0% |
| 9 | 3 | 0.9% |
| Value | Count | Frequency (%) |
| 26 | 2 | 0.6% |
| 20 | 1 | 0.3% |
| 10 | 9 | 2.7% |
| 9 | 3 | 0.9% |
| 8 | 10 | 3.0% |
| 7 | 8 | 2.4% |
| 6 | 10 | 3.0% |
| 5 | 14 | |
| 4 | 9 | 2.7% |
| 3 | 30 |
calculated_host_listings_count_private_rooms
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 7 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.84802432 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 206 |
| Zeros (%) | 62.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.4081657 |
|---|---|
| Coefficient of variation (CV) | 1.6605251 |
| Kurtosis | 2.8049985 |
| Mean | 0.84802432 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.8473921 |
| Sum | 279 |
| Variance | 1.9829305 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 206 | |
| 1 | 51 | 15.5% |
| 2 | 29 | 8.8% |
| 3 | 21 | 6.4% |
| 5 | 11 | 3.3% |
| 4 | 7 | 2.1% |
| 6 | 4 | 1.2% |
| Value | Count | Frequency (%) |
| 0 | 206 | |
| 1 | 51 | 15.5% |
| 2 | 29 | 8.8% |
| 3 | 21 | 6.4% |
| 4 | 7 | 2.1% |
| 5 | 11 | 3.3% |
| 6 | 4 | 1.2% |
| Value | Count | Frequency (%) |
| 6 | 4 | 1.2% |
| 5 | 11 | 3.3% |
| 4 | 7 | 2.1% |
| 3 | 21 | 6.4% |
| 2 | 29 | 8.8% |
| 1 | 51 | 15.5% |
| 0 | 206 |
reviews_per_month
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 5.1 KiB |
| id | host_id | host_listings_count | host_total_listings_count | latitude | longitude | accommodates | price | minimum_nights | maximum_nights | minimum_minimum_nights | maximum_minimum_nights | minimum_maximum_nights | maximum_maximum_nights | minimum_nights_avg_ntm | maximum_nights_avg_ntm | availability_30 | availability_60 | availability_90 | availability_365 | number_of_reviews | number_of_reviews_ltm | number_of_reviews_l30d | calculated_host_listings_count | calculated_host_listings_count_entire_homes | calculated_host_listings_count_private_rooms | last_scraped | source | host_location | host_response_time | host_response_rate | host_is_superhost | host_neighbourhood | host_verifications | host_identity_verified | neighbourhood | neighbourhood_cleansed | property_type | room_type | bathrooms_text | has_availability | calendar_last_scraped | instant_bookable | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| id | 1.000 | 0.754 | -0.055 | -0.063 | -0.028 | -0.016 | 0.098 | 0.057 | 0.122 | -0.071 | 0.107 | 0.051 | -0.156 | -0.136 | 0.102 | -0.140 | 0.012 | 0.030 | 0.022 | -0.037 | -0.079 | -0.090 | -0.040 | -0.049 | -0.049 | 0.007 | 0.102 | 0.000 | 0.072 | 0.091 | 0.185 | 0.101 | 0.151 | 0.038 | 0.205 | 0.079 | 0.065 | 0.065 | 0.000 | 0.101 | 0.000 | 0.102 | 0.107 |
| host_id | 0.754 | 1.000 | -0.214 | -0.248 | 0.021 | 0.004 | 0.086 | 0.042 | -0.007 | -0.063 | 0.044 | -0.077 | -0.136 | -0.114 | -0.020 | -0.118 | 0.079 | 0.071 | 0.061 | 0.062 | -0.104 | -0.101 | -0.054 | -0.192 | -0.160 | 0.012 | 0.000 | 0.000 | 0.116 | 0.117 | 0.077 | 0.034 | 0.000 | 0.156 | 0.228 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.113 |
| host_listings_count | -0.055 | -0.214 | 1.000 | 0.792 | -0.064 | 0.049 | 0.030 | -0.249 | -0.058 | 0.151 | -0.101 | -0.029 | 0.121 | 0.154 | -0.061 | 0.137 | -0.095 | -0.103 | -0.081 | -0.017 | 0.234 | 0.188 | 0.076 | 0.941 | 0.618 | 0.231 | 0.000 | 0.000 | 0.327 | 0.173 | 0.285 | 0.199 | 0.385 | 0.134 | 0.152 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.292 |
| host_total_listings_count | -0.063 | -0.248 | 0.792 | 1.000 | -0.051 | 0.079 | 0.082 | -0.193 | -0.040 | 0.200 | -0.059 | 0.051 | 0.095 | 0.122 | -0.017 | 0.107 | -0.059 | -0.075 | -0.041 | 0.012 | 0.195 | 0.171 | 0.081 | 0.750 | 0.530 | 0.157 | 0.095 | 0.023 | 0.050 | 0.185 | 0.393 | 0.091 | 0.000 | 0.135 | 0.084 | 0.045 | 0.000 | 0.000 | 0.122 | 0.172 | 0.000 | 0.095 | 0.215 |
| latitude | -0.028 | 0.021 | -0.064 | -0.051 | 1.000 | 0.593 | -0.115 | -0.232 | -0.138 | -0.019 | -0.125 | -0.130 | -0.001 | -0.013 | -0.135 | -0.007 | 0.113 | 0.118 | 0.132 | 0.121 | -0.190 | -0.150 | -0.113 | -0.063 | -0.259 | 0.226 | 0.220 | 0.166 | 0.000 | 0.209 | 0.205 | 0.169 | 0.767 | 0.056 | 0.270 | 0.378 | 0.782 | 0.141 | 0.298 | 0.116 | 0.186 | 0.220 | 0.045 |
| longitude | -0.016 | 0.004 | 0.049 | 0.079 | 0.593 | 1.000 | 0.024 | -0.272 | -0.004 | 0.023 | -0.030 | 0.044 | 0.077 | 0.067 | 0.007 | 0.072 | -0.068 | -0.080 | -0.066 | -0.035 | 0.110 | 0.125 | 0.140 | 0.053 | 0.074 | -0.020 | 0.286 | 0.000 | 0.000 | 0.118 | 0.113 | 0.127 | 0.597 | 0.000 | 0.183 | 0.225 | 0.728 | 0.443 | 0.089 | 0.158 | 0.113 | 0.286 | 0.000 |
| accommodates | 0.098 | 0.086 | 0.030 | 0.082 | -0.115 | 0.024 | 1.000 | 0.383 | 0.061 | 0.113 | 0.052 | 0.197 | 0.042 | 0.066 | 0.107 | 0.057 | 0.034 | 0.017 | 0.034 | 0.081 | 0.109 | 0.125 | 0.141 | -0.012 | 0.253 | -0.333 | 0.066 | 0.000 | 0.121 | 0.051 | 0.000 | 0.000 | 0.190 | 0.000 | 0.044 | 0.179 | 0.374 | 0.401 | 0.439 | 0.362 | 0.000 | 0.066 | 0.000 |
| price | 0.057 | 0.042 | -0.249 | -0.193 | -0.232 | -0.272 | 0.383 | 1.000 | 0.145 | -0.044 | 0.186 | 0.131 | -0.196 | -0.188 | 0.147 | -0.195 | 0.170 | 0.190 | 0.188 | 0.210 | -0.241 | -0.254 | -0.173 | -0.246 | 0.004 | -0.213 | 0.000 | 0.086 | 0.000 | 0.133 | 0.000 | 0.000 | 0.271 | 0.139 | 0.073 | 0.252 | 0.247 | 0.170 | 0.119 | 0.273 | 0.159 | 0.000 | 0.000 |
| minimum_nights | 0.122 | -0.007 | -0.058 | -0.040 | -0.138 | -0.004 | 0.061 | 0.145 | 1.000 | 0.053 | 0.887 | 0.820 | -0.021 | -0.017 | 0.977 | -0.017 | -0.130 | -0.130 | -0.132 | -0.147 | -0.017 | -0.063 | -0.069 | -0.103 | 0.191 | -0.309 | 0.027 | 0.187 | 0.000 | 0.088 | 0.284 | 0.000 | 0.251 | 0.000 | 0.147 | 0.000 | 0.000 | 0.000 | 0.028 | 0.174 | 0.257 | 0.027 | 0.000 |
| maximum_nights | -0.071 | -0.063 | 0.151 | 0.200 | -0.019 | 0.023 | 0.113 | -0.044 | 0.053 | 1.000 | 0.005 | 0.050 | 0.628 | 0.632 | 0.058 | 0.630 | -0.142 | -0.143 | -0.119 | -0.014 | 0.108 | 0.146 | 0.119 | 0.134 | 0.188 | -0.099 | 0.148 | 0.078 | 0.308 | 0.067 | 0.000 | 0.000 | 0.051 | 0.107 | 0.164 | 0.000 | 0.052 | 0.000 | 0.092 | 0.038 | 0.000 | 0.148 | 0.000 |
| minimum_minimum_nights | 0.107 | 0.044 | -0.101 | -0.059 | -0.125 | -0.030 | 0.052 | 0.186 | 0.887 | 0.005 | 1.000 | 0.722 | -0.086 | -0.076 | 0.874 | -0.079 | -0.077 | -0.088 | -0.090 | -0.081 | -0.051 | -0.134 | -0.131 | -0.137 | 0.116 | -0.238 | 0.047 | 0.143 | 0.166 | 0.059 | 0.292 | 0.000 | 0.283 | 0.000 | 0.176 | 0.000 | 0.098 | 0.000 | 0.072 | 0.284 | 0.257 | 0.047 | 0.000 |
| maximum_minimum_nights | 0.051 | -0.077 | -0.029 | 0.051 | -0.130 | 0.044 | 0.197 | 0.131 | 0.820 | 0.050 | 0.722 | 1.000 | 0.039 | 0.071 | 0.890 | 0.064 | -0.118 | -0.122 | -0.123 | -0.179 | 0.127 | 0.103 | 0.076 | -0.070 | 0.258 | -0.339 | 0.068 | 0.173 | 0.089 | 0.079 | 0.254 | 0.146 | 0.212 | 0.000 | 0.152 | 0.038 | 0.000 | 0.000 | 0.000 | 0.156 | 0.259 | 0.068 | 0.000 |
| minimum_maximum_nights | -0.156 | -0.136 | 0.121 | 0.095 | -0.001 | 0.077 | 0.042 | -0.196 | -0.021 | 0.628 | -0.086 | 0.039 | 1.000 | 0.976 | 0.002 | 0.987 | -0.192 | -0.212 | -0.209 | -0.121 | 0.262 | 0.305 | 0.193 | 0.103 | 0.112 | -0.081 | 0.123 | 0.000 | 0.309 | 0.206 | 0.135 | 0.157 | 0.079 | 0.150 | 0.241 | 0.000 | 0.109 | 0.069 | 0.058 | 0.114 | 0.000 | 0.123 | 0.309 |
| maximum_maximum_nights | -0.136 | -0.114 | 0.154 | 0.122 | -0.013 | 0.067 | 0.066 | -0.188 | -0.017 | 0.632 | -0.076 | 0.071 | 0.976 | 1.000 | 0.013 | 0.997 | -0.195 | -0.220 | -0.220 | -0.140 | 0.267 | 0.295 | 0.193 | 0.138 | 0.150 | -0.066 | 0.106 | 0.000 | 0.308 | 0.177 | 0.150 | 0.153 | 0.065 | 0.161 | 0.249 | 0.000 | 0.122 | 0.075 | 0.078 | 0.116 | 0.000 | 0.106 | 0.402 |
| minimum_nights_avg_ntm | 0.102 | -0.020 | -0.061 | -0.017 | -0.135 | 0.007 | 0.107 | 0.147 | 0.977 | 0.058 | 0.874 | 0.890 | 0.002 | 0.013 | 1.000 | 0.011 | -0.132 | -0.137 | -0.137 | -0.152 | 0.015 | -0.027 | -0.034 | -0.112 | 0.205 | -0.328 | 0.056 | 0.167 | 0.125 | 0.000 | 0.276 | 0.000 | 0.193 | 0.000 | 0.135 | 0.000 | 0.000 | 0.000 | 0.089 | 0.278 | 0.257 | 0.056 | 0.000 |
| maximum_nights_avg_ntm | -0.140 | -0.118 | 0.137 | 0.107 | -0.007 | 0.072 | 0.057 | -0.195 | -0.017 | 0.630 | -0.079 | 0.064 | 0.987 | 0.997 | 0.011 | 1.000 | -0.196 | -0.220 | -0.219 | -0.137 | 0.268 | 0.301 | 0.197 | 0.121 | 0.134 | -0.072 | 0.109 | 0.000 | 0.093 | 0.224 | 0.160 | 0.156 | 0.282 | 0.174 | 0.248 | 0.000 | 0.132 | 0.073 | 0.086 | 0.109 | 0.000 | 0.109 | 0.340 |
| availability_30 | 0.012 | 0.079 | -0.095 | -0.059 | 0.113 | -0.068 | 0.034 | 0.170 | -0.130 | -0.142 | -0.077 | -0.118 | -0.192 | -0.195 | -0.132 | -0.196 | 1.000 | 0.957 | 0.926 | 0.682 | -0.187 | -0.136 | -0.133 | -0.074 | -0.226 | 0.156 | 0.334 | 0.404 | 0.097 | 0.229 | 0.146 | 0.246 | 0.069 | 0.065 | 0.255 | 0.037 | 0.083 | 0.000 | 0.298 | 0.091 | 0.204 | 0.334 | 0.155 |
| availability_60 | 0.030 | 0.071 | -0.103 | -0.075 | 0.118 | -0.080 | 0.017 | 0.190 | -0.130 | -0.143 | -0.088 | -0.122 | -0.212 | -0.220 | -0.137 | -0.220 | 0.957 | 1.000 | 0.979 | 0.720 | -0.217 | -0.164 | -0.158 | -0.083 | -0.225 | 0.146 | 0.377 | 0.463 | 0.063 | 0.268 | 0.196 | 0.279 | 0.095 | 0.000 | 0.270 | 0.000 | 0.127 | 0.049 | 0.335 | 0.060 | 0.249 | 0.377 | 0.199 |
| availability_90 | 0.022 | 0.061 | -0.081 | -0.041 | 0.132 | -0.066 | 0.034 | 0.188 | -0.132 | -0.119 | -0.090 | -0.123 | -0.209 | -0.220 | -0.137 | -0.219 | 0.926 | 0.979 | 1.000 | 0.748 | -0.213 | -0.153 | -0.147 | -0.061 | -0.198 | 0.147 | 0.380 | 0.552 | 0.087 | 0.282 | 0.200 | 0.240 | 0.000 | 0.000 | 0.315 | 0.000 | 0.000 | 0.000 | 0.289 | 0.000 | 0.311 | 0.380 | 0.142 |
| availability_365 | -0.037 | 0.062 | -0.017 | 0.012 | 0.121 | -0.035 | 0.081 | 0.210 | -0.147 | -0.014 | -0.081 | -0.179 | -0.121 | -0.140 | -0.152 | -0.137 | 0.682 | 0.720 | 0.748 | 1.000 | -0.222 | -0.155 | -0.160 | 0.007 | -0.167 | 0.184 | 0.391 | 0.693 | 0.079 | 0.294 | 0.217 | 0.276 | 0.041 | 0.071 | 0.263 | 0.000 | 0.033 | 0.081 | 0.266 | 0.029 | 0.408 | 0.391 | 0.144 |
| number_of_reviews | -0.079 | -0.104 | 0.234 | 0.195 | -0.190 | 0.110 | 0.109 | -0.241 | -0.017 | 0.108 | -0.051 | 0.127 | 0.262 | 0.267 | 0.015 | 0.268 | -0.187 | -0.217 | -0.213 | -0.222 | 1.000 | 0.812 | 0.582 | 0.211 | 0.395 | -0.328 | 0.062 | 0.096 | 0.000 | 0.193 | 0.000 | 0.317 | 0.000 | 0.000 | 0.225 | 0.125 | 0.000 | 0.124 | 0.314 | 0.000 | 0.018 | 0.062 | 0.285 |
| number_of_reviews_ltm | -0.090 | -0.101 | 0.188 | 0.171 | -0.150 | 0.125 | 0.125 | -0.254 | -0.063 | 0.146 | -0.134 | 0.103 | 0.305 | 0.295 | -0.027 | 0.301 | -0.136 | -0.164 | -0.153 | -0.155 | 0.812 | 1.000 | 0.687 | 0.175 | 0.352 | -0.314 | 0.000 | 0.105 | 0.000 | 0.232 | 0.000 | 0.378 | 0.000 | 0.000 | 0.183 | 0.152 | 0.000 | 0.000 | 0.300 | 0.000 | 0.000 | 0.000 | 0.320 |
| number_of_reviews_l30d | -0.040 | -0.054 | 0.076 | 0.081 | -0.113 | 0.140 | 0.141 | -0.173 | -0.069 | 0.119 | -0.131 | 0.076 | 0.193 | 0.193 | -0.034 | 0.197 | -0.133 | -0.158 | -0.147 | -0.160 | 0.582 | 0.687 | 1.000 | 0.055 | 0.287 | -0.343 | 0.084 | 0.127 | 0.000 | 0.163 | 0.000 | 0.244 | 0.000 | 0.000 | 0.117 | 0.255 | 0.000 | 0.000 | 0.301 | 0.000 | 0.000 | 0.084 | 0.146 |
| calculated_host_listings_count | -0.049 | -0.192 | 0.941 | 0.750 | -0.063 | 0.053 | -0.012 | -0.246 | -0.103 | 0.134 | -0.137 | -0.070 | 0.103 | 0.138 | -0.112 | 0.121 | -0.074 | -0.083 | -0.061 | 0.007 | 0.211 | 0.175 | 0.055 | 1.000 | 0.618 | 0.292 | 0.120 | 0.041 | 0.374 | 0.167 | 0.202 | 0.237 | 0.000 | 0.090 | 0.175 | 0.000 | 0.000 | 0.000 | 0.066 | 0.055 | 0.011 | 0.120 | 0.236 |
| calculated_host_listings_count_entire_homes | -0.049 | -0.160 | 0.618 | 0.530 | -0.259 | 0.074 | 0.253 | 0.004 | 0.191 | 0.188 | 0.116 | 0.258 | 0.112 | 0.150 | 0.205 | 0.134 | -0.226 | -0.225 | -0.198 | -0.167 | 0.395 | 0.352 | 0.287 | 0.618 | 1.000 | -0.475 | 0.068 | 0.020 | 0.382 | 0.205 | 0.166 | 0.161 | 0.000 | 0.094 | 0.194 | 0.000 | 0.000 | 0.000 | 0.248 | 0.000 | 0.019 | 0.068 | 0.248 |
| calculated_host_listings_count_private_rooms | 0.007 | 0.012 | 0.231 | 0.157 | 0.226 | -0.020 | -0.333 | -0.213 | -0.309 | -0.099 | -0.238 | -0.339 | -0.081 | -0.066 | -0.328 | -0.072 | 0.156 | 0.146 | 0.147 | 0.184 | -0.328 | -0.314 | -0.343 | 0.292 | -0.475 | 1.000 | 0.193 | 0.254 | 0.000 | 0.248 | 0.214 | 0.171 | 0.302 | 0.096 | 0.317 | 0.134 | 0.285 | 0.405 | 0.866 | 0.500 | 0.292 | 0.193 | 0.165 |
| last_scraped | 0.102 | 0.000 | 0.000 | 0.095 | 0.220 | 0.286 | 0.066 | 0.000 | 0.027 | 0.148 | 0.047 | 0.068 | 0.123 | 0.106 | 0.056 | 0.109 | 0.334 | 0.377 | 0.380 | 0.391 | 0.062 | 0.000 | 0.084 | 0.120 | 0.068 | 0.193 | 1.000 | 0.407 | 0.143 | 0.153 | 0.168 | 0.000 | 0.416 | 0.115 | 0.000 | 0.157 | 0.501 | 0.133 | 0.122 | 0.115 | 0.216 | 0.993 | 0.000 |
| source | 0.000 | 0.000 | 0.000 | 0.023 | 0.166 | 0.000 | 0.000 | 0.086 | 0.187 | 0.078 | 0.143 | 0.173 | 0.000 | 0.000 | 0.167 | 0.000 | 0.404 | 0.463 | 0.552 | 0.693 | 0.096 | 0.105 | 0.127 | 0.041 | 0.020 | 0.254 | 0.407 | 1.000 | 0.247 | 0.474 | 0.437 | 0.114 | 0.248 | 0.249 | 0.192 | 0.197 | 0.279 | 0.152 | 0.051 | 0.191 | 0.560 | 0.407 | 0.075 |
| host_location | 0.072 | 0.116 | 0.327 | 0.050 | 0.000 | 0.000 | 0.121 | 0.000 | 0.000 | 0.308 | 0.166 | 0.089 | 0.309 | 0.308 | 0.125 | 0.093 | 0.097 | 0.063 | 0.087 | 0.079 | 0.000 | 0.000 | 0.000 | 0.374 | 0.382 | 0.000 | 0.143 | 0.247 | 1.000 | 0.085 | 0.264 | 0.134 | 0.000 | 0.000 | 0.000 | 0.208 | 0.000 | 0.000 | 0.000 | 0.000 | 0.141 | 0.143 | 0.000 |
| host_response_time | 0.091 | 0.117 | 0.173 | 0.185 | 0.209 | 0.118 | 0.051 | 0.133 | 0.088 | 0.067 | 0.059 | 0.079 | 0.206 | 0.177 | 0.000 | 0.224 | 0.229 | 0.268 | 0.282 | 0.294 | 0.193 | 0.232 | 0.163 | 0.167 | 0.205 | 0.248 | 0.153 | 0.474 | 0.085 | 1.000 | 0.764 | 0.311 | 0.266 | 0.132 | 0.445 | 0.075 | 0.228 | 0.157 | 0.271 | 0.154 | 0.416 | 0.153 | 0.173 |
| host_response_rate | 0.185 | 0.077 | 0.285 | 0.393 | 0.205 | 0.113 | 0.000 | 0.000 | 0.284 | 0.000 | 0.292 | 0.254 | 0.135 | 0.150 | 0.276 | 0.160 | 0.146 | 0.196 | 0.200 | 0.217 | 0.000 | 0.000 | 0.000 | 0.202 | 0.166 | 0.214 | 0.168 | 0.437 | 0.264 | 0.764 | 1.000 | 0.260 | 0.203 | 0.253 | 0.464 | 0.000 | 0.193 | 0.136 | 0.254 | 0.000 | 0.356 | 0.168 | 0.189 |
| host_is_superhost | 0.101 | 0.034 | 0.199 | 0.091 | 0.169 | 0.127 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.146 | 0.157 | 0.153 | 0.000 | 0.156 | 0.246 | 0.279 | 0.240 | 0.276 | 0.317 | 0.378 | 0.244 | 0.237 | 0.161 | 0.171 | 0.000 | 0.114 | 0.134 | 0.311 | 0.260 | 1.000 | 0.136 | 0.000 | 0.290 | 0.000 | 0.077 | 0.000 | 0.107 | 0.128 | 0.126 | 0.000 | 0.136 |
| host_neighbourhood | 0.151 | 0.000 | 0.385 | 0.000 | 0.767 | 0.597 | 0.190 | 0.271 | 0.251 | 0.051 | 0.283 | 0.212 | 0.079 | 0.065 | 0.193 | 0.282 | 0.069 | 0.095 | 0.000 | 0.041 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.302 | 0.416 | 0.248 | 0.000 | 0.266 | 0.203 | 0.136 | 1.000 | 0.333 | 0.364 | 0.501 | 0.853 | 0.169 | 0.435 | 0.128 | 0.411 | 0.416 | 0.188 |
| host_verifications | 0.038 | 0.156 | 0.134 | 0.135 | 0.056 | 0.000 | 0.000 | 0.139 | 0.000 | 0.107 | 0.000 | 0.000 | 0.150 | 0.161 | 0.000 | 0.174 | 0.065 | 0.000 | 0.000 | 0.071 | 0.000 | 0.000 | 0.000 | 0.090 | 0.094 | 0.096 | 0.115 | 0.249 | 0.000 | 0.132 | 0.253 | 0.000 | 0.333 | 1.000 | 0.157 | 0.333 | 0.204 | 0.000 | 0.086 | 0.041 | 0.393 | 0.115 | 0.109 |
| host_identity_verified | 0.205 | 0.228 | 0.152 | 0.084 | 0.270 | 0.183 | 0.044 | 0.073 | 0.147 | 0.164 | 0.176 | 0.152 | 0.241 | 0.249 | 0.135 | 0.248 | 0.255 | 0.270 | 0.315 | 0.263 | 0.225 | 0.183 | 0.117 | 0.175 | 0.194 | 0.317 | 0.000 | 0.192 | 0.000 | 0.445 | 0.464 | 0.290 | 0.364 | 0.157 | 1.000 | 0.000 | 0.354 | 0.391 | 0.234 | 0.152 | 0.357 | 0.000 | 0.124 |
| neighbourhood | 0.079 | 0.000 | 0.000 | 0.045 | 0.378 | 0.225 | 0.179 | 0.252 | 0.000 | 0.000 | 0.000 | 0.038 | 0.000 | 0.000 | 0.000 | 0.000 | 0.037 | 0.000 | 0.000 | 0.000 | 0.125 | 0.152 | 0.255 | 0.000 | 0.000 | 0.134 | 0.157 | 0.197 | 0.208 | 0.075 | 0.000 | 0.000 | 0.501 | 0.333 | 0.000 | 1.000 | 0.382 | 0.183 | 0.072 | 0.081 | 0.223 | 0.157 | 0.094 |
| neighbourhood_cleansed | 0.065 | 0.000 | 0.000 | 0.000 | 0.782 | 0.728 | 0.374 | 0.247 | 0.000 | 0.052 | 0.098 | 0.000 | 0.109 | 0.122 | 0.000 | 0.132 | 0.083 | 0.127 | 0.000 | 0.033 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.285 | 0.501 | 0.279 | 0.000 | 0.228 | 0.193 | 0.077 | 0.853 | 0.204 | 0.354 | 0.382 | 1.000 | 0.371 | 0.435 | 0.194 | 0.391 | 0.501 | 0.144 |
| property_type | 0.065 | 0.000 | 0.000 | 0.000 | 0.141 | 0.443 | 0.401 | 0.170 | 0.000 | 0.000 | 0.000 | 0.000 | 0.069 | 0.075 | 0.000 | 0.073 | 0.000 | 0.049 | 0.000 | 0.081 | 0.124 | 0.000 | 0.000 | 0.000 | 0.000 | 0.405 | 0.133 | 0.152 | 0.000 | 0.157 | 0.136 | 0.000 | 0.169 | 0.000 | 0.391 | 0.183 | 0.371 | 1.000 | 0.977 | 0.304 | 0.331 | 0.133 | 0.143 |
| room_type | 0.000 | 0.000 | 0.000 | 0.122 | 0.298 | 0.089 | 0.439 | 0.119 | 0.028 | 0.092 | 0.072 | 0.000 | 0.058 | 0.078 | 0.089 | 0.086 | 0.298 | 0.335 | 0.289 | 0.266 | 0.314 | 0.300 | 0.301 | 0.066 | 0.248 | 0.866 | 0.122 | 0.051 | 0.000 | 0.271 | 0.254 | 0.107 | 0.435 | 0.086 | 0.234 | 0.072 | 0.435 | 0.977 | 1.000 | 0.711 | 0.158 | 0.122 | 0.112 |
| bathrooms_text | 0.101 | 0.000 | 0.000 | 0.172 | 0.116 | 0.158 | 0.362 | 0.273 | 0.174 | 0.038 | 0.284 | 0.156 | 0.114 | 0.116 | 0.278 | 0.109 | 0.091 | 0.060 | 0.000 | 0.029 | 0.000 | 0.000 | 0.000 | 0.055 | 0.000 | 0.500 | 0.115 | 0.191 | 0.000 | 0.154 | 0.000 | 0.128 | 0.128 | 0.041 | 0.152 | 0.081 | 0.194 | 0.304 | 0.711 | 1.000 | 0.220 | 0.115 | 0.070 |
| has_availability | 0.000 | 0.000 | 0.000 | 0.000 | 0.186 | 0.113 | 0.000 | 0.159 | 0.257 | 0.000 | 0.257 | 0.259 | 0.000 | 0.000 | 0.257 | 0.000 | 0.204 | 0.249 | 0.311 | 0.408 | 0.018 | 0.000 | 0.000 | 0.011 | 0.019 | 0.292 | 0.216 | 0.560 | 0.141 | 0.416 | 0.356 | 0.126 | 0.411 | 0.393 | 0.357 | 0.223 | 0.391 | 0.331 | 0.158 | 0.220 | 1.000 | 0.216 | 0.039 |
| calendar_last_scraped | 0.102 | 0.000 | 0.000 | 0.095 | 0.220 | 0.286 | 0.066 | 0.000 | 0.027 | 0.148 | 0.047 | 0.068 | 0.123 | 0.106 | 0.056 | 0.109 | 0.334 | 0.377 | 0.380 | 0.391 | 0.062 | 0.000 | 0.084 | 0.120 | 0.068 | 0.193 | 0.993 | 0.407 | 0.143 | 0.153 | 0.168 | 0.000 | 0.416 | 0.115 | 0.000 | 0.157 | 0.501 | 0.133 | 0.122 | 0.115 | 0.216 | 1.000 | 0.000 |
| instant_bookable | 0.107 | 0.113 | 0.292 | 0.215 | 0.045 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.309 | 0.402 | 0.000 | 0.340 | 0.155 | 0.199 | 0.142 | 0.144 | 0.285 | 0.320 | 0.146 | 0.236 | 0.248 | 0.165 | 0.000 | 0.075 | 0.000 | 0.173 | 0.189 | 0.136 | 0.188 | 0.109 | 0.124 | 0.094 | 0.144 | 0.143 | 0.112 | 0.070 | 0.039 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| id | listing_url | last_scraped | source | name | description | neighborhood_overview | picture_url | host_id | host_url | host_name | host_since | host_location | host_about | host_response_time | host_response_rate | host_acceptance_rate | host_is_superhost | host_thumbnail_url | host_picture_url | host_neighbourhood | host_listings_count | host_total_listings_count | host_verifications | host_identity_verified | neighbourhood | neighbourhood_cleansed | latitude | longitude | property_type | room_type | accommodates | bathrooms_text | bedrooms | beds | amenities | price | minimum_nights | maximum_nights | minimum_minimum_nights | maximum_minimum_nights | minimum_maximum_nights | maximum_maximum_nights | minimum_nights_avg_ntm | maximum_nights_avg_ntm | has_availability | availability_30 | availability_60 | availability_90 | availability_365 | calendar_last_scraped | number_of_reviews | number_of_reviews_ltm | number_of_reviews_l30d | first_review | last_review | review_scores_rating | review_scores_accuracy | review_scores_cleanliness | review_scores_checkin | review_scores_communication | review_scores_location | review_scores_value | instant_bookable | calculated_host_listings_count | calculated_host_listings_count_entire_homes | calculated_host_listings_count_private_rooms | reviews_per_month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 231497 | https://www.airbnb.com/rooms/231497 | 2023-09-22 | city scrape | Rental unit in Rio de Janeiro · ★4.73 · 1 bedroom · 1 bed · 1 bath | this is a big studio at the end of copacabana walking distance to arpoador and ipanema which can accomodate persons in a double bed and another on couches which can be opened to sleep onclose to commercial area and public transportationthe spacespacious flat with double bed air conditioner tv linen ceiling fan small kitchen and bathroom there is also sofabed which can accommodate more people for an additional charge of us each hour doorman walking distance to ipanema the flat is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you also have means of transport to anywhere in rio buses subway theres is a subway station two blocks away from the flat and taxis you are very close to the fortress of copacabana a main touristic attraction where you ha | no_info | https://a0.muscache.com/pictures/3582382/ee8acc55_original.jpg | 1207700 | https://www.airbnb.com/users/show/1207700 | Maria Luiza | 2011-09-25 | Rio de Janeiro, Brazil | Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade.\n\n \nFalo e escrevo em Inglês, francês, espanhol e português. | within a few hours | 100% | 82% | f | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium | Copacabana | 4.0 | 8.0 | ['email', 'phone'] | t | no_info | Copacabana | -22.98238 | -43.19215 | Entire rental unit | Entire home/apt | 4 | 1 bath | 1.0 | 1.0 | ["Hangers", "Body soap", "Elevator", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "TV", "Iron", "Dining table", "Ceiling fan", "Essentials", "Public or shared beach access \u2013 Beachfront", "Refrigerator", "Coffee maker: drip coffee maker", "Gas stove", "Hot water", "Extra pillows and blankets", "Kitchen", "Air conditioning"] | 180.0 | 3 | 89 | 3 | 3 | 89 | 89 | 3.0 | 89.0 | t | 0 | 0 | 0 | 204 | 2023-09-22 | 78 | 9 | 1 | 2011-11-17 | 2023-09-11 | 4.73 | 4.83 | 4.86 | 4.89 | 4.92 | 4.9 | 4.65 | f | 4 | 4 | 0 | 0.54 |
| 1 | 231516 | https://www.airbnb.com/rooms/231516 | 2023-09-22 | city scrape | Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed | special location of the building on copacabana beach although the apartment does not have an ocean view but its great for people who love the sea and for the ones staying for new years accomodates up to personsthe spacespacious apartment with one bedroom comfortable double bed air conditioner tv linenlivingroom with a double sofabed more people can be accommodated small kitchen bathroom ceiling fans hour doorman walking distance to ipanema the building is on copacabana beach but the apartment does not have bech view its at the back of the building facing the street behindthe apartment is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you are very close to the fortress of copacabana a main tourist attraction where you have the most fantastic view of the famous copacab | no_info | https://a0.muscache.com/pictures/3671683/d74b44a4_original.jpg | 1207700 | https://www.airbnb.com/users/show/1207700 | Maria Luiza | 2011-09-25 | Rio de Janeiro, Brazil | Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade.\n\n \nFalo e escrevo em Inglês, francês, espanhol e português. | within a few hours | 100% | 82% | f | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium | Copacabana | 4.0 | 8.0 | ['email', 'phone'] | t | no_info | Copacabana | -22.97787 | -43.18792 | Entire rental unit | Entire home/apt | 4 | no_info | 1.0 | 1.0 | ["TV", "Kitchen", "Wifi", "Elevator", "Air conditioning"] | 350.0 | 3 | 89 | 3 | 3 | 89 | 89 | 3.0 | 89.0 | t | 0 | 0 | 1 | 113 | 2023-09-22 | 29 | 0 | 0 | 2011-11-02 | 2016-08-21 | 4.71 | 4.76 | 4.52 | 4.79 | 4.86 | 4.93 | 4.38 | f | 4 | 4 | 0 | 0.2 |
| 2 | 236991 | https://www.airbnb.com/rooms/236991 | 2023-09-23 | city scrape | Rental unit in Rio de Janeiro · ★4.89 · 1 bedroom · 4 beds · 1 bath | aconchegante amplo bsico arejado iluminado com luz natural em prdio seguro e familiar prdio com portaria horas e cameras de segurana em todos os andares do edifcio tudo isto em copacabana a quase quadra do mar o segundo prdio da segunda quadra da praia est localizado na av prado junior quase esquina com av nsra de copacabanathe spaceo apartamento possui moblia bsica mas a necessria para voce se sentir em um espao limpo confortvel e aconchegante tambm tem os eletrodomesticos bsicos que no podem faltar em um apto como microondas cafeteira eltrica mquina de lavar fogo tv e geladeira todos a volts e um guardaroupas grande onde voc pode colocar suas malas roupas e pertences na sala h uma mesa com cadeiras um sof cama casal tipo fouton no quarto uma cama box de casal ortobom master pocket de molas ensacadas e camas de solteiro uma delas ortobom e bicama o apto tambm tem ar condicionado e ventil | Copacabana, apelidada a princesinha do mar, faz juz ao apelido.<br />Além de possuir uma das praias mais famosas e charmosas do Rio de Janeiro fornece ao turista ampla estrutura com variedade de restaurantes, agências de turismos, casas de câmbio, supermercados, drogarias, e a poucos passos um grande shopping (Rio Sul) e etc. | https://a0.muscache.com/pictures/5725a59b-147d-4bf2-99f2-ba67f55ee770.jpg | 1241662 | https://www.airbnb.com/users/show/1241662 | Nilda | 2011-10-03 | Rio de Janeiro, Brazil | Hellow ! Im Nilda! I love Rio de Janeiro. I work renting apartments for short time. the places are simples! but very clean , safe and well provided with basic staffs to spent a great vacations.\n\nVery well located, next to the beach one of the most famous Rio de Janeiro´ s beach: Copacabana you ll have easy and plenty access by bus and others public \n transportations services to the main and classic touristic points more visited by the travellers in Rio de Janeiro.\n\nWelcome to Rio, welcome to Brazil! \n\n | within an hour | 100% | 96% | t | https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_x_medium | Copacabana | 2.0 | 2.0 | ['email', 'phone'] | t | Rio de Janeiro, Brazil | Copacabana | -22.96488 | -43.17478 | Entire rental unit | Entire home/apt | 5 | 1 bath | 1.0 | 4.0 | ["Clothing storage: wardrobe", "Public or shared beach access", "Hangers", "Esmaltec gas stove", "Elevator", "Cooking basics", "32\" HDTV", "Room-darkening shades", "Bed linens", "Microwave", "Free washer \u2013 In unit", "Drying rack for clothing", "Dishes and silverware", "Cleaning products", "Courtyard view", "Coffee maker", "Iron", "Laundromat nearby", "Dining table", "Ceiling fan", "Blender", "Essentials", "Hot water kettle", "Refrigerator", "Host greets you", "EV charger", "Mountain view", "Hot water", "Oven", "Kitchen", "Window AC unit", "Wifi \u2013 14 Mbps"] | 190.0 | 5 | 14 | 4 | 7 | 1125 | 1125 | 5.0 | 1125.0 | t | 14 | 21 | 51 | 51 | 2023-09-23 | 76 | 24 | 2 | 2014-03-03 | 2023-09-05 | 4.89 | 4.96 | 4.91 | 4.97 | 4.96 | 4.99 | 4.89 | f | 2 | 2 | 0 | 0.65 |
| 3 | 17878 | https://www.airbnb.com/rooms/17878 | 2023-09-23 | city scrape | Condo in Rio de Janeiro · ★4.70 · 2 bedrooms · 2 beds · 1 bath | please note that elevated rates applies for new years and carnival price depends on length of stay and number of people generally i prefer a stay for week or more and a maximum of people at the most contact me and we will discuss bright and sunny large balcony square meters high speed wifi up to mb smart tv you can watch netflix etc if you have an account h doorman minute to walk to copacabana beach silent split air conditioning best spot in riothe space beautiful sunny bedroom square meters in h doorman building min to walk to copacabana beach spacious living room bedrooms with fullsize beds each sleeps large balcony which looks out on pedestrian street no traffic priceless in rio apts with sea view are noisy because of traffic split air condition in each room almost silent like in a hotel smart t | This is the one of the bests spots in Rio. Because of the large balcony and proximity to the beach, it has huge advantages in the current situation. | https://a0.muscache.com/pictures/65320518/30698f38_original.jpg | 68997 | https://www.airbnb.com/users/show/68997 | Matthias | 2010-01-08 | Rio de Janeiro, Brazil | I am a journalist/writer. Lived in NYC for 15 years. I am now based in Rio and published 3 volumes of travel stories on AMAZ0N: "The World Is My Oyster". If you have never been to Rio, check out the first story, and you'll get an idea. Apart from Rio, you'll find 29 other travel stories from all around the globe. | within an hour | 100% | 96% | t | https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_x_medium | Copacabana | 2.0 | 5.0 | ['email', 'phone'] | t | Rio de Janeiro, Brazil | Copacabana | -22.96599 | -43.17940 | Entire condo | Entire home/apt | 5 | 1 bath | 2.0 | 2.0 | ["Patio or balcony", "Hangers", "Paid parking off premises", "Elevator", "Cooking basics", "Private entrance", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "Self check-in", "Iron", "Building staff", "Essentials", "TV with standard cable", "Refrigerator", "Stove", "Smoking allowed", "Bathtub", "Hot water", "Oven", "Air conditioning", "Kitchen", "Luggage dropoff allowed", "Coffee maker"] | 279.0 | 5 | 28 | 5 | 5 | 28 | 28 | 5.0 | 28.0 | t | 14 | 21 | 38 | 265 | 2023-09-23 | 301 | 25 | 1 | 2010-07-15 | 2023-09-11 | 4.7 | 4.77 | 4.64 | 4.83 | 4.91 | 4.77 | 4.67 | f | 1 | 1 | 0 | 1.87 |
| 5 | 25026 | https://www.airbnb.com/rooms/25026 | 2023-09-22 | city scrape | Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed · 1 bath | fully renovated in dec new kitchen new bathroom new flooring o apto foi todo renovado piso banheiro e cozinha novos em dez se vc nao tem opiniario no airbnb e nunca usou antes por favor mande mensagem antes falando quem vc our apartment is a little gem everyone loves staying there best location blocks to the subway blocks to the beach close to bars restaurants supermarkets subway wifi cable tv air con and fanthe spacethis newly renovated studio fully renovated dec is in the best location of copacabana situated on a quieter street but just off the main streets right in the middle of everything blocks from the beach block from the subway cantagalo station which places you just a stop away from ipanema you can just walk there too no need to hop on the subway really very close to all local bars and restaurants and very close to ipanema and lagoa walking dis | Copacabana is a lively neighborhood and the apartment is located very close to an area in Copa full of bars, cafes and restaurants at Rua Bolivar and Domingos Ferreira. Copacabana never sleeps, there is always movement and it's a great mix of all kinds of people. | https://a0.muscache.com/pictures/a745aa21-b8dd-4959-a040-eb8e6e6f07ee.jpg | 102840 | https://www.airbnb.com/users/show/102840 | Viviane | 2010-04-03 | Rio de Janeiro, Brazil | Hi guys,\n\nViviane is a commercial photographer, an avid world traveler, (a former photographer for Airbnb) and an Airbnb superhost. And a free lance photographer for other wonderful clients. She loves life and meeting people.\n\nWe work together in providing the best accommodation to people and we are\nfirm believers of enjoying the moment as a prime attitude towards life!\n | within a few hours | 100% | 73% | t | https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_x_medium | Copacabana | 1.0 | 5.0 | ['email', 'phone'] | t | Rio de Janeiro, Brazil | Copacabana | -22.97735 | -43.19105 | Entire rental unit | Entire home/apt | 3 | 1 bath | 1.0 | 1.0 | ["Clothing storage: wardrobe", "Dedicated workspace", "Public or shared beach access", "Hangers", "Elevator", "Cooking basics", "Room-darkening shades", "Bed linens", "Single level home", "Microwave", "Wifi", "Drying rack for clothing", "Dishes and silverware", "Hair dryer", "Iron", "Laundromat nearby", "Paid street parking off premises", "Dining table", "Ceiling fan", "Books and reading material", "Blender", "Essentials", "Hammock", "TV with standard cable", "Refrigerator", "Stove", "Host greets you", "Hot water", "Oven", "Kitchen", "Window AC unit", "Coffee maker"] | 330.0 | 2 | 60 | 2 | 2 | 60 | 60 | 2.0 | 60.0 | t | 6 | 11 | 41 | 203 | 2023-09-22 | 272 | 24 | 1 | 2010-06-07 | 2023-09-07 | 4.71 | 4.69 | 4.78 | 4.81 | 4.92 | 4.84 | 4.59 | f | 1 | 1 | 0 | 1.68 |
| 6 | 238802 | https://www.airbnb.com/rooms/238802 | 2023-09-23 | city scrape | Rental unit in Rio · ★4.77 · 3 bedrooms · 4 beds · 2 baths | spacious clean and bright bedroom apartment with bathrooms located at only meters from the famous copacabana beachthe spacefully furnished three bedroom apartment located in copacabana this spacious apartment in copacabana is the right pick for a group of friends or a family this apartment have three bedrooms with double beds a double sofa bed in the living room that can accommodate up to people two complete bathrooms all bedrooms and living room come with split air conditioningwifi is available for your use the kitchen is equipped with stove fridgefreezer microwave coffee maker other electrical appliances and washing machinebed linens and bath towels are includedplease note for long term reservations the utility bills electricity and gas are not included in the rent and will be pay separatelyguest accesswe will meet our gue | What makes Copacabana authentic is mainly because of its beautiful beach and striking pavement pattern. Day in and day out thousands of Cariocas and tourists stroll and jog on the famous wavy mosaic pavement in black and white marble, designed by Roberto Burle Marx. | https://a0.muscache.com/pictures/46b95cc9-d4d6-4a90-b444-5ddaf9ecca11.jpg | 235496 | https://www.airbnb.com/users/show/235496 | Paola E Isak | 2010-09-15 | Rio de Janeiro, Brazil | Swedish-Colombian couple in love with Rio & Barcelona, always looking for stunning sunsets! \n\nWe will be available by phone during your stay to ensure a smooth and unforgettable experience and to attend any questions you might have. \n_\n\nCasal sueco-colombiano apaixonado pelo Rio e Barcelona.\n\nEstaremos sempre disponíveis por telefone durante sua estadia para atender a quaisquer dúvidas que possam ter e para garantir uma experiência inesquecível. | within an hour | 100% | 100% | t | https://a0.muscache.com/im/pictures/user/75f13205-20fa-4b70-bd73-71f4b995b58a.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/75f13205-20fa-4b70-bd73-71f4b995b58a.jpg?aki_policy=profile_x_medium | Copacabana | 5.0 | 10.0 | ['email', 'phone'] | t | Rio, Rio de Janeiro, Brazil | Copacabana | -22.96386 | -43.17757 | Entire rental unit | Entire home/apt | 8 | 2 baths | 3.0 | 4.0 | ["Freezer", "Hangers", "Body soap", "Beach access", "Carbon monoxide alarm", "Kitchen", "Elevator", "Cooking basics", "Room-darkening shades", "Heating", "Baking sheet", "Wine glasses", "Bed linens", "40\" TV with standard cable", "Window guards", "Microwave", "Shower gel", "Free washer \u2013 In unit", "AC - split type ductless system", "Drying rack for clothing", "Smoke alarm", "Wifi", "Cleaning products", "Dishes and silverware", "Ethernet connection", "Hair dryer", "Private patio or balcony", "Coffee maker", "Iron", "Laundromat nearby", "Long term stays allowed", "Dining table", "Toaster", "Waterfront", "Essentials", "First aid kit", "Clothing storage", "Refrigerator", "Host greets you", "Bathtub", "Gas stove", "Hot water", "Oven", "Portable fans", "Extra pillows and blankets"] | 642.0 | 2 | 180 | 2 | 7 | 1125 | 1125 | 2.3 | 1125.0 | t | 25 | 34 | 51 | 289 | 2023-09-23 | 97 | 33 | 2 | 2011-11-17 | 2023-09-17 | 4.77 | 4.86 | 4.87 | 4.9 | 4.93 | 4.81 | 4.64 | t | 4 | 4 | 0 | 0.67 |
| 7 | 239531 | https://www.airbnb.com/rooms/239531 | 2023-09-23 | city scrape | Rental unit in Rio de Janeiro · ★4.58 · 1 bedroom · 2 beds · 1 bath | varanda with a seaside view from the eleventh floor bedroom with a double bed air internetwifi good bathroom living with a sofabed ceiling fan and cable tv and complete kitchen all surrounded with all you may need and steps to the beachvaranda com vista lateral do mar do dcimo primeiro andar quarto com cama de casal ar internetwifi bom banheiro sala com sofcama tv a cabo e ventilador de teto e cozinha completa tudo rodeado de todas as facilidades a passos da praiathe spacebeautiful and quiet one bedroom apartment just meters from copacabana beach on the eleventh floor a very comfortable bedroom with a double bed good linen with soft and fresh shower and face towels in the living room there is a sofa bed accommodate two people a ceiling fan a lcd cable tv high speed internet with wireless connection mb a comfortable bathroom with automatic gas heater and hygienic showerthe kitchen is all e | no_info | https://a0.muscache.com/pictures/12451384/18c18103_original.jpg | 792218 | https://www.airbnb.com/users/show/792218 | Levy | 2011-07-07 | Rio de Janeiro, Brazil | I live with my wife in Copacabana, Rio, where I was born. I'm a Rio's lover and like to host people from all over the world in our apartments in Copacabana/ Ipanema, with all the necessary tips for a nice stay.\r\nEu vivo com minha esposa em Copacabana, Rio, aonde nasci. Apaixonado pelo Rio, gosto de receber pessoas de todas as partes do mundo nos nossos apartamentos em Copacabana e Ipanema, dando todas as necessárias dicas para uma boa estadia. | within an hour | 100% | 97% | f | https://a0.muscache.com/im/users/792218/profile_pic/1310233853/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/792218/profile_pic/1310233853/original.jpg?aki_policy=profile_x_medium | Copacabana | 10.0 | 15.0 | ['email', 'phone'] | t | no_info | Copacabana | -22.96434 | -43.17563 | Entire rental unit | Entire home/apt | 4 | 1 bath | 1.0 | 2.0 | ["Patio or balcony", "Hangers", "Paid parking off premises", "Elevator", "Cooking basics", "Room-darkening shades", "Bed linens", "Pocket wifi", "Microwave", "Paid parking on premises", "Wifi", "Ocean view", "Dishes and silverware", "Ethernet connection", "Hair dryer", "Coffee maker", "Iron", "Fire extinguisher", "Long term stays allowed", "Beach access \u2013 Beachfront", "Beach view", "Babysitter recommendations", "Essentials", "High chair", "TV with standard cable", "Refrigerator", "Stove", "Host greets you", "Hot water", "Extra pillows and blankets", "Oven", "Kitchen", "Air conditioning"] | 200.0 | 2 | 150 | 2 | 2 | 150 | 150 | 2.0 | 150.0 | t | 5 | 13 | 43 | 318 | 2023-09-23 | 109 | 12 | 2 | 2011-12-08 | 2023-09-21 | 4.58 | 4.66 | 4.33 | 4.79 | 4.81 | 4.7 | 4.42 | f | 10 | 10 | 0 | 0.76 |
| 8 | 35764 | https://www.airbnb.com/rooms/35764 | 2023-09-23 | city scrape | Loft in Rio de Janeiro · ★4.90 · 1 bedroom · 1 bed · 1.5 baths | our newly renovated studio is located in the best part of copacabana between posto and posto minutes from the arpoador and ipanema beach security hours a day enjoy your stay in a family bulding living as a local people please check the possibility of flexible checkin and checkout timesthe spacefeel like your home living as carioca local people in a new renovated and refurbished apartment carefully prepared for you the apartment is very clean in a safe and familiar building only studios per floor make sure you will stay in the best place of copacabana posto lifeguard station minutes walking to arpoador and ipanema attention all the pictures are surrounding the apartment and not far away we are pround super host with also full golden stars in all aspects we care about your well beingpackages for carnival is available send a message to uscheck in and | Our guests will experience living with a local peole "Carioca" in a very friendly building with 24 hours a day security with all kind of stores, banks, transports, restaurants. | https://a0.muscache.com/pictures/23782972/1d3e55b0_original.jpg | 153691 | https://www.airbnb.com/users/show/153691 | Patricia Miranda & Paulo | 2010-06-27 | Rio de Janeiro, Brazil | Hello, We are Patricia Miranda and Paulo.\r\nWe are a couple who love to meet new people, new cultures, we both are very easy going persons, we love to travel, music, dancing, to walk along the beach and chat with friends in a bar in somewhere in Rio. We are retired after working for several years in tourism and an international airline company. Our biggest passion is playing with our 4 american granddaughters . We are gay friendly and everybody is welcome! We look forward to meeting you and sharing advice and recommendation about our wonderful city.\r\n\r\nWe were guest in Buenos Aires, João Pessoa, PB, Brooklin NY, and Manhattan.\r\n\r\n\r\n! | within an hour | 100% | 96% | t | https://a0.muscache.com/im/users/153691/profile_pic/1277774787/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/153691/profile_pic/1277774787/original.jpg?aki_policy=profile_x_medium | Copacabana | 1.0 | 2.0 | ['email', 'phone'] | t | Rio de Janeiro, Brazil | Copacabana | -22.98107 | -43.19136 | Entire loft | Entire home/apt | 2 | 1.5 baths | 1.0 | 1.0 | ["32\" HDTV with standard cable", "Hangers", "Carbon monoxide alarm", "Paid parking off premises", "Elevator", "Cooking basics", "Room-darkening shades", "Heating", "Bed linens", "Pocket wifi", "Microwave", "Wifi", "Smoke alarm", "Dishes and silverware", "Hair dryer", "Coffee maker", "Self check-in", "Iron", "Fire extinguisher", "Building staff", "Beach access \u2013 Beachfront", "Beach view", "Essentials", "Refrigerator", "Stove", "Hot water", "Kitchen", "Window AC unit", "Luggage dropoff allowed", "Extra pillows and blankets"] | 192.0 | 3 | 15 | 3 | 5 | 7 | 15 | 3.0 | 14.8 | t | 4 | 8 | 11 | 46 | 2023-09-23 | 446 | 37 | 1 | 2010-10-03 | 2023-09-11 | 4.9 | 4.93 | 4.93 | 4.97 | 4.95 | 4.94 | 4.89 | f | 1 | 1 | 0 | 2.82 |
| 9 | 245951 | https://www.airbnb.com/rooms/245951 | 2023-09-23 | city scrape | Rental unit in Rio de Janeiro · ★4.86 · 1 bedroom · 2 beds · 1 bath | great space for those who need leisure as well as work we have megs of wifi internet and btus split air conditioning for the greater comfort of your homeofficethe spacecomplete and luxurious apartment blocks from the beach in copacabana the most famous beach in rio de janeiro where one can walk swim in the sea get a tan cycling and exercising outdoors a short walk from the ipanema beach the second most famous beach in rio de janeiro and place that inspired the composer vinicius de moraes when he launched the popular song girl from ipanema litter box for couples sofa beds cable tv internet bed linen sheets lines telephone intercom with concierge full kitchen cabinets with drawers and a safe located close to subway bus stop and taxi making easy access to major sights of rio de janeiro in the region has the best bars and restaurants it is also possible to find all types of trade as pharmacies | no_info | https://a0.muscache.com/pictures/41861094/4e098c3e_original.jpg | 1289982 | https://www.airbnb.com/users/show/1289982 | Carnaval Turismo | 2011-10-14 | Rio de Janeiro, Brazil | Carnaval Turismo é uma agência de viagens que tem como produto principal o Carnaval e o receptivo no Rio de Janeiro. A Cidade Maravilhosa e um produto como o Carnaval que espelham a alegria de viver e a simpatia do povo carioca nos estimulam a receber BEM os nossos hóspedes. Copacabana é uma " Cidade" : Praia, Sol, Samba, Carnaval, Animação e Conforto na hospedagem, é o melhor que um turista pode desejar ao chegar em uma cidade tão receptiva como o Rio de Janeiro! Welcome!! \nImportante: \nMANTEMOS UM RIGOROSO PROTOCOLO SANITÁRIO DE HOSPEDAGEM DURANTE A PANDEMIA DE COVID-19 ! TOTAL PROTEÇÃOPARA OS NOSSOS HOSPEDES ! \n | within a few hours | 100% | 83% | f | https://a0.muscache.com/im/pictures/user/23c803d9-09b5-4692-b4fb-bed9c73c769a.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/23c803d9-09b5-4692-b4fb-bed9c73c769a.jpg?aki_policy=profile_x_medium | Copacabana | 1.0 | 1.0 | ['email', 'phone'] | t | no_info | Copacabana | -22.96704 | -43.18201 | Entire rental unit | Entire home/apt | 4 | 1 bath | 1.0 | 2.0 | ["Private entrance", "Shampoo", "Essentials", "Hair dryer", "Bed linens", "TV with standard cable", "Refrigerator", "Dishes and silverware", "Stove", "Coffee maker", "Hangers", "Microwave", "Hot water", "Iron", "Kitchen", "Window AC unit", "Wifi", "Elevator", "Extra pillows and blankets", "Cooking basics"] | 300.0 | 3 | 760 | 2 | 4 | 760 | 760 | 3.0 | 760.0 | t | 30 | 56 | 86 | 342 | 2023-09-23 | 14 | 1 | 0 | 2012-03-05 | 2023-06-11 | 4.86 | 5.0 | 5.0 | 4.86 | 4.93 | 4.86 | 4.86 | f | 1 | 1 | 0 | 0.1 |
| 11 | 247052 | https://www.airbnb.com/rooms/247052 | 2023-09-22 | city scrape | Rental unit in Rio de Janeiro · 2 bedrooms · 2 beds · 3 baths | exceptionally cozy apartment in a beautiful location spacious and comfortable with a homey feel full community gym game room sauna and kids play area safe street near military police station band news station close to everythingthe spacebotafogo is a bohemian neighborhood of rio de janeiro close to everything including beautiful beaches bars and restaurants shopping centers theaters and cinemas supermarkets an incredible array of awesome activities for travelers ranging from adventurous thrillseekers to laid back families looking for a home base on their trip to an amazing city familycentric apartment complex with excellent presentation welcomeguest accessfull access to the apartment and its amenities | - Front view of Christ the Redeemer <br />- Near the metro station<br />- Sugar Loaf is within walking distance <br />- Quiet street in Botafogo <br />- 10 minute bike ride to Copacabana and Leme, 20 minutes by bike to Arpoador, Ipanema and Lagoa. | https://a0.muscache.com/pictures/10711212/bf31590d_original.jpg | 1295841 | https://www.airbnb.com/users/show/1295841 | Osmar | 2011-10-15 | Brazil | Tenho 50 anos, sou casado e tenho 3 filhos.\r\nSou empresário e já trabalhei em várias empresas e hoje faço o meu proprio negócio. \r\nSou educado e simpático. Quero receber pessoas em minha casa, e quero que se sinta a vontade viajando para o Rio de Janeiro. \r\nMeu coração ainda mora no Rio de Janeiro mais agora faço negócios em Vitória - ES. \r\nMe interesso por pessoas diversas e novas culturas. O Rio de Janeiro é encantador e acolhedor. Posso dar as melhores dicas de boa diversão. | within an hour | 100% | no_info | f | https://a0.muscache.com/im/pictures/user/ff4fbc73-422b-44bc-8edb-1877e9d09766.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/ff4fbc73-422b-44bc-8edb-1877e9d09766.jpg?aki_policy=profile_x_medium | Botafogo | 1.0 | 1.0 | ['email', 'phone'] | f | Rio de Janeiro, Brazil | Botafogo | -22.95665 | -43.18481 | Entire rental unit | Entire home/apt | 4 | 3 baths | 2.0 | 2.0 | ["Free parking on premises", "Washer", "TV", "Dryer", "Kitchen", "Gym", "Elevator", "Air conditioning"] | 736.0 | 5 | 730 | 5 | 5 | 730 | 730 | 5.0 | 730.0 | t | 0 | 0 | 0 | 3 | 2023-09-22 | 0 | 0 | 0 | no_info | no_info | no_info | no_info | no_info | no_info | no_info | no_info | no_info | f | 1 | 1 | 0 | no_info |
| id | listing_url | last_scraped | source | name | description | neighborhood_overview | picture_url | host_id | host_url | host_name | host_since | host_location | host_about | host_response_time | host_response_rate | host_acceptance_rate | host_is_superhost | host_thumbnail_url | host_picture_url | host_neighbourhood | host_listings_count | host_total_listings_count | host_verifications | host_identity_verified | neighbourhood | neighbourhood_cleansed | latitude | longitude | property_type | room_type | accommodates | bathrooms_text | bedrooms | beds | amenities | price | minimum_nights | maximum_nights | minimum_minimum_nights | maximum_minimum_nights | minimum_maximum_nights | maximum_maximum_nights | minimum_nights_avg_ntm | maximum_nights_avg_ntm | has_availability | availability_30 | availability_60 | availability_90 | availability_365 | calendar_last_scraped | number_of_reviews | number_of_reviews_ltm | number_of_reviews_l30d | first_review | last_review | review_scores_rating | review_scores_accuracy | review_scores_cleanliness | review_scores_checkin | review_scores_communication | review_scores_location | review_scores_value | instant_bookable | calculated_host_listings_count | calculated_host_listings_count_entire_homes | calculated_host_listings_count_private_rooms | reviews_per_month | |
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| 484 | 915877 | https://www.airbnb.com/rooms/915877 | 2023-09-23 | previous scrape | Home in Rio de Janeiro · 1 bedroom · 1 bed · 1 bath | the spaceinternet wifi access air conditioning cable tv shared kitchen full bathroom and laundry room located in santa teresa a bohemian neighbourhood full of artists and musicians studios as well as some famous bars and restaurants up a hill next to downtown rio lapa as well as the south zone of the city easy access by bus and cartaxi | no_info | https://a0.muscache.com/pictures/13402797/9f8961e5_original.jpg | 4916403 | https://www.airbnb.com/users/show/4916403 | Olga | 2013-01-31 | Rio de Janeiro, Brazil | : | no_info | no_info | no_info | f | https://a0.muscache.com/im/users/4916403/profile_pic/1359641268/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/4916403/profile_pic/1359641268/original.jpg?aki_policy=profile_x_medium | no_info | 1.0 | 1.0 | ['email'] | f | no_info | Santa Teresa | -22.91944 | -43.19282 | Private room in home | Private room | 2 | 1 bath | no_info | 1.0 | ["TV with standard cable", "Washer", "Kitchen", "Wifi", "Air conditioning"] | 981.0 | 2 | 60 | 2 | 2 | 60 | 60 | 2.0 | 60.0 | f | 0 | 0 | 0 | 0 | 2023-09-23 | 0 | 0 | 0 | no_info | no_info | no_info | no_info | no_info | no_info | no_info | no_info | no_info | f | 1 | 0 | 1 | no_info |
| 488 | 1008537 | https://www.airbnb.com/rooms/1008537 | 2023-09-23 | city scrape | Rental unit in Rio De Janeiro · ★4.80 · 3 bedrooms · 3 beds · 1.5 baths | located between copacabana and ipanema in a safe area close to the beach restaurants bars pharmacy shops close to the subway easy transport to anywhere in rio with wifi cable tv bedrooms with double bed plus two single mattresses air conditioning throughout large and comfortable living room kitchen equipped with microwave electric oven stove refrigerator washing machine building with elevator and hour doormanthe spaceapartment for up to people more information the space it is located between copacabana and ipanema in a safe area close to the beach restaurants bars pharmacy shops close to the subway easy transport to anywhere in rio features wifi tv cable tv bedrooms with double beds with air conditioning and ceiling fan air conditioning in all environments large and comfortable living room kitchen equipped with microwave electric oven stove refrigerator washing machine elevator and hour doorma | no_info | https://a0.muscache.com/pictures/prohost-api/Hosting-1008537/original/66be2add-2e41-459b-bbbd-3f8ad0464323.jpeg | 823800 | https://www.airbnb.com/users/show/823800 | Rafaella | 2011-07-15 | Rio de Janeiro, Brazil | I live in Rio de Janeiro. The city has a lot of attractions like restaurants, museums, bars and an astonishing nature! I would like to welcome you to my apartments and do my best to make you feel comfortable and help you to discover Rio as local. \r\n\r\nI love traveling, teaching DeRose Method, art, cycling, and meeting people from different cultures. I am brazilian and I lived in Spain and Portugal. I speak portuguese, english, spanish and a bit of french. \r\n\r\nI studied environmental engineering and I am a business administration graduate from PUC-Rio and from the University of Salamanca, Spain. | within a few hours | 100% | 93% | t | https://a0.muscache.com/im/pictures/user/8a7c015f-2c99-4974-86bc-6b5673da5a31.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/8a7c015f-2c99-4974-86bc-6b5673da5a31.jpg?aki_policy=profile_x_medium | Ipanema | 35.0 | 118.0 | ['email', 'phone', 'work_email'] | t | no_info | Copacabana | -22.98517 | -43.19172 | Entire rental unit | Entire home/apt | 6 | 1.5 baths | 3.0 | 3.0 | ["Dedicated workspace", "Hangers", "Dryer", "Paid parking off premises", "Elevator", "Cooking basics", "Room-darkening shades", "Bed linens", "Washer", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "Crib", "Iron", "Long term stays allowed", "Essentials", "TV with standard cable", "Refrigerator", "Stove", "Coffee maker: drip coffee maker", "Hot water", "Oven", "Kitchen", "Air conditioning"] | 586.0 | 4 | 90 | 3 | 5 | 90 | 90 | 3.8 | 90.0 | t | 23 | 44 | 68 | 175 | 2023-09-23 | 21 | 6 | 0 | 2013-04-01 | 2023-06-12 | 4.8 | 4.9 | 4.9 | 4.76 | 4.86 | 4.71 | 4.52 | t | 28 | 26 | 2 | 0.16 |
| 489 | 917745 | https://www.airbnb.com/rooms/917745 | 2023-09-23 | city scrape | Rental unit in Rio de Janeiro · ★4.84 · 2 bedrooms · 2 beds · 2.5 baths | the spaceapartamento de frente para o mar na avenida atlntica local tranquilo e residencial tima localizao com diversos restaurantesmercados farmcia e transporte ampla sala com ambientes suite e mais quartos com arcondicionado mobiliado comporta pessoas cozinha equipadaroupas de cama e mesa portaria hpacote de carnaval mnimo de noites rphone number hidden o pacoteoupacote de carnaval de a dias r pacote para copa do mundo noites em junho mnimourl hidden noites em julho mnimopreferncia aluguel de dias nesta poca | no_info | https://a0.muscache.com/pictures/15520399/0f9dab47_original.jpg | 3359789 | https://www.airbnb.com/users/show/3359789 | Ana Lucia | 2012-08-24 | Rio de Janeiro, Brazil | Olá , meu nome é Ana Lucia .\r\nSejam todos muito bem vindos a cidade maravilhosa do Rio de Janeiro .\r\nObrigada por verificar meu anúncio . | within a day | 50% | 40% | f | https://a0.muscache.com/im/users/3359789/profile_pic/1359901235/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/3359789/profile_pic/1359901235/original.jpg?aki_policy=profile_x_medium | no_info | 1.0 | 4.0 | ['email', 'phone'] | t | no_info | Copacabana | -22.97186 | -43.18616 | Entire rental unit | Entire home/apt | 4 | 2.5 baths | 2.0 | 2.0 | ["Hangers", "Elevator", "Private entrance", "Washer", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "Iron", "Laundromat nearby", "Paid street parking off premises", "Long term stays allowed", "Beach access \u2013 Beachfront", "Beach view", "Waterfront", "TV with standard cable", "Refrigerator", "Cleaning available during stay", "Oven", "Kitchen", "Air conditioning"] | 400.0 | 4 | 90 | 4 | 4 | 90 | 90 | 4.0 | 90.0 | t | 7 | 23 | 44 | 44 | 2023-09-23 | 88 | 2 | 0 | 2013-02-18 | 2022-11-11 | 4.84 | 4.66 | 4.74 | 4.95 | 4.91 | 4.98 | 4.71 | f | 1 | 1 | 0 | 0.68 |
| 491 | 918167 | https://www.airbnb.com/rooms/918167 | 2023-09-22 | city scrape | Rental unit in Rio de Janeiro · ★4.92 · 1 bedroom · 4 beds · 1 bath | central but quiet everything in reach of minutes commerce public busses metro etc very cosy place nice view over santa teresa and lapa be most welcome temporarily exclusively for a maximum of guest group reservations for up to guests on request please excellent aircondition in bedroomthe spacetemporary flat in picturesque santa teresa artists and musicians district of rio de janeiro next to downtown lapa and glriatotally independent full privacy newly refurbished central but calm location nearby commerce and public transportfurnished apartment big bedroom dbl with space for up to extra singlebeds livingroom with small convertible sofabed terrace with view over the districts of santa teresa and lapa medium sized revitalized bathroom equipped and fully operational kitchen internet mbs tv set extrabeds in bedroom will always be single up to single extrabe | Santa Teresa is one of the best neighbourhoods of Rio de Janeiro, especially if you are into arts, music and fine restaurants (but there are also more simple and economic ones). Many artists and musicians live in this neighbourhood, which not only for that reason has got a very nice, calming and "alternative" atmosphere. Nightlife offers many restaurants and bars with brazilian life-music, not only in Santa Teresa, but also in the district of Lapa, nearby. The district is full of beautiful views of the surrounding city, since it is uphill. Architecture of different periods is also very rich in Santa Teresa, it's very nice walking through the old streets of Santa Teresa, where you may eventually also meet with the "Bonde", the last local tram dating back to the 19th century !! | https://a0.muscache.com/pictures/51523446/aea9920e_original.jpg | 4928051 | https://www.airbnb.com/users/show/4928051 | Michael | 2013-02-01 | Rio de Janeiro, Brazil | I'am a film- and music producer, audio engineer, musician and publisher at my own Production Company in Rio de Janeiro; my company is entitled by ANCINE (the governmental brazilian regulatory film agency) to receive international teams for film-productions in Rio and Brazil.\r\n\r\nParallel to my career as a producer I have worked for many years as an international and regional tour manager, speaking fluently portuguese, english and german; my spanish is reasonable.\r\n\r\nI do live in Brazil and Rio de Janeiro for about 30 years now and know the city really very well, enabling me to assist my guests with valuable local information and insider tips.\r\n\r\nIt will be a pleasure to welcome you in one of my two apartments. \r\n\r\nAh ... I almost forgot: I LOVE traveling and have visited over 70 countries in 5 continents, for work and also leisure. | within an hour | 100% | 100% | t | https://a0.muscache.com/im/users/4928051/profile_pic/1383751509/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/4928051/profile_pic/1383751509/original.jpg?aki_policy=profile_x_medium | Santa Teresa | 3.0 | 5.0 | ['email', 'phone', 'work_email'] | t | Rio de Janeiro, Brazil | Santa Teresa | -22.91534 | -43.18102 | Entire rental unit | Entire home/apt | 2 | 1 bath | 1.0 | 4.0 | ["Outdoor furniture", "Garden view", "Sound system with Bluetooth and aux", "Dedicated workspace", "Public or shared beach access", "Freezer", "Paid dryer \u2013 In building", "Hangers", "Mini fridge", "Private hot tub", "Kitchen", "Free street parking", "Paid parking off premises", "Other gas stove", "Cooking basics", "Private entrance", "Shampoo", "Room-darkening shades", "32\" HDTV with Apple TV, Netflix, standard cable", "Baking sheet", "Wine glasses", "Bed linens", "Pocket wifi", "Free washer \u2013 In unit", "Safe", "Drying rack for clothing", "Dishes and silverware", "Barbecue utensils", "Cleaning products", "Phebo body soap", "Ethernet connection", "Hair dryer", "Clothing storage: closet", "Coffee maker", "Private patio or balcony", "Iron", "Fire extinguisher", "Valley view", "Laundromat nearby", "Long term stays allowed", "Outdoor dining area", "Dining table", "Ceiling fan", "City skyline view", "Books and reading material", "Babysitter recommendations", "Essentials", "First aid kit", "Toaster", "Blender", "Hot water kettle", "Refrigerator", "Hammock", "Bikes", "EV charger", "Mountain view", "Fast wifi \u2013 165 Mbps", "Bathtub", "Host greets you", "Hot water", "Oven", "Central air conditioning", "Portable fans", "Luggage dropoff allowed", "Extra pillows and blankets", "Bidet"] | 160.0 | 5 | 365 | 5 | 5 | 1125 | 1125 | 5.0 | 1125.0 | t | 4 | 4 | 12 | 120 | 2023-09-22 | 140 | 12 | 1 | 2013-02-14 | 2023-09-11 | 4.92 | 4.92 | 4.8 | 4.93 | 4.95 | 4.84 | 4.85 | f | 2 | 2 | 0 | 1.08 |
| 493 | 1013191 | https://www.airbnb.com/rooms/1013191 | 2023-09-22 | city scrape | Rental unit in Rio de Janeiro · ★4.73 · 1 bedroom · 2 beds · 1 bath | apartamento para pessoas em condomnio familiar com conforto e segurana estacionamento piscina sauna academia lanchonetes e rea verde parques para crianas h km da praia da barra da tijuca com tv smart wifi e computadores redes proteo nas janelas todos os utenslios de cozinha a disposio e filtro com gua para beber a vontadethe spacequiosque na piscina que funciona como um quebragalho onde tem lanches pes salgados almoo bebidas em geral e um pouquinho de tudo aberto de h as hutenslios de cozinha disposiofiltro com gua pra beber a vontadena frente do condomnio tem um ponto de nibus com vrios destinos incluindo um nibus integrado com o metr pra toda a cidadeso dois ar condicionado no quarto e na dla que refresca todo o apartamento tv conexo de internet wifi e uma cozinha americana totalmente equipada com geladeira microondas fogocafeteira e torradeiras alm de uma variedad | Possui ao todo 27,3 km de praias oceânicas,6 sendo as maiores a praia da Barra da Tijuca e a praia da Reserva, ambas localizadas no bairro da Barra da Tijuca. A região possui ainda três grandes lagoas, sendo a de maior extensão a Lagoa de Marapendi.<br />A região é cortada por três vias principais: a Avenida das Américas (principal via da região, que corta os bairros da Barra e do Recreio e possui cerca de 21 quilômetros), a Avenida Ayrton Senna - do apartamento - (que liga a Barra a Jacarepaguá e à Linha Amarela), e a Avenida Lúcio Costa, antiga Avenida Sernambetiba (ao longo do litoral). | https://a0.muscache.com/pictures/40822052/de79504c_original.jpg | 5573690 | https://www.airbnb.com/users/show/5573690 | Luciana | 2013-03-22 | Rio de Janeiro, Brazil | Sou Carioca de Niterói/RJ. Sou psicóloga com consultório particular em Copacabana e na Barra. Tenho 40 anos de bem com a vida. | within a few hours | 100% | 46% | f | https://a0.muscache.com/im/users/5573690/profile_pic/1394828080/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/5573690/profile_pic/1394828080/original.jpg?aki_policy=profile_x_medium | Barra da Tijuca | 6.0 | 7.0 | ['email', 'phone'] | t | Rio de Janeiro, Brazil | Barra da Tijuca | -22.98557 | -43.36538 | Entire rental unit | Entire home/apt | 4 | 1 bath | 1.0 | 2.0 | ["Shared sauna", "Lux body soap", "Clothing storage: wardrobe", "Dedicated workspace", "BBQ grill", "Hangers", "Free washer \u2013 In building", "Carbon monoxide alarm", "Free street parking", "Pets allowed", "Elevator", "Cooking basics", "Pool table", "Free parking on premises", "Room-darkening shades", "Wine glasses", "Bed linens", "Window guards", "Microwave", "Free dryer \u2013 In building", "Drying rack for clothing", "Wifi", "Smoke alarm", "Dishes and silverware", "Mosquito net", "Hair dryer", "Private patio or balcony", "Coffee maker", "Shared backyard \u2013 Fully fenced", "Shared gym in building", "Iron", "Lake access", "Laundromat nearby", "Long term stays allowed", "Ceiling fan", "Toaster", "Blender", "Essentials", "Ping pong table", "TV with standard cable", "Refrigerator", "Stove", "Shared pool", "Cleaning available during stay", "Free resort access", "Smoking allowed", "Host greets you", "Hot water", "Extra pillows and blankets", "Oven", "Kitchen", "Luggage dropoff allowed", "Air conditioning"] | 250.0 | 7 | 365 | 7 | 7 | 365 | 365 | 7.0 | 365.0 | t | 28 | 58 | 88 | 356 | 2023-09-22 | 28 | 2 | 0 | 2013-07-02 | 2023-03-08 | 4.73 | 4.8 | 4.88 | 4.96 | 4.96 | 4.6 | 4.5 | f | 5 | 5 | 0 | 0.22 |
| 494 | 919852 | https://www.airbnb.com/rooms/919852 | 2023-09-22 | city scrape | Home in Rio de Janeiro · ★4.70 · 4 bedrooms · 8 beds · 2 shared baths | local hostel est localizado no rio de janeiro no bairro de santa teresa pitoresco encantador e central contamos com fcil acesso a todos os pontos da cidade a poucos metros da nossa casa h pontos de metr e nibus em direo a todos os pontos tursticos da cidade lapa cristo redentor po de acar as praias de ipanema copacabana leblon e qualquer atrativo de interesse trabalhamos apenas com quartos privados cozinha compartilhada roupa de cama e toalhas lavanderia de cortesiathe spacelocal hostel aluga quarto mt quadrados bem arejado e tv ventilador internet wi fi h localizao santa teresa parte baixa prximo ao largo dos guimares prximo ao comrcio supermercados mundial e extra restaurantes bares etc prximo ao teatro municipal cinelndia arcos da lapa sambdromo etc conduo farta para diversos pontos do rio minutos da zona sul copacabana ipanema etc anfitrio bom relacionamento local arborizadob | Santa Teresa e Arcos da Lapa e os bondinhos!!! | https://a0.muscache.com/pictures/27343c11-4afb-4454-9cb6-556f343a26a3.jpg | 4941560 | https://www.airbnb.com/users/show/4941560 | Alberto | 2013-02-02 | Rio de Janeiro, Brazil | Anfitrião bom relacionamento. Local arborizado. Venha conhecer o Rio e se encantar pelas maravilhas que encontrar! | within a few hours | 100% | no_info | f | https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_x_medium | Santa Teresa | 3.0 | 8.0 | ['email', 'phone'] | f | Rio de Janeiro, Brazil | Santa Teresa | -22.91621 | -43.18530 | Private room in home | Private room | 8 | 2 shared baths | no_info | 8.0 | ["Outdoor furniture", "Room-darkening shades", "Essentials", "Hammock", "Dedicated workspace", "BBQ grill", "Outdoor dining area", "Hangers", "Smoking allowed", "Washer", "Hot water", "TV", "Iron", "Dryer", "Kitchen", "Wifi", "Cooking basics"] | 150.0 | 2 | 1000 | 2 | 2 | 1000 | 1000 | 2.0 | 1000.0 | t | 29 | 59 | 89 | 347 | 2023-09-22 | 11 | 0 | 0 | 2013-09-22 | 2016-10-24 | 4.7 | 4.9 | 4.5 | 4.9 | 5.0 | 4.8 | 5.0 | f | 3 | 0 | 3 | 0.09 |
| 495 | 919853 | https://www.airbnb.com/rooms/919853 | 2023-09-22 | city scrape | Home in Rio de Janeiro · 4 bedrooms · 7 beds · 2 baths | a melhor noite do rio a minutos de nibus at copacabana ipanema e leblon em baixo do largo dos guimares santa teresa casa ampla de vila sossegada pouco barulho e tranquila venha nos conhecer estamos as ordens ser um prazer the spacelocal hostel aluga quarto m quadrados bem arejado com tv ventilador internet wi fi h cozinha compartilhada completa banheiro novo em frente ao quarto quintal com tanques para lavar roupa e terrao para secagem lavanderia no local com preo especial para hospedes localizao santa teresa parte baixa prximo ao largo dos guimares prximo ao comrcio supermercados mundial e extra restaurantes bares etc prximo ao teatro municipal cinelndia arcos da lapa sambdromo etc conduo farta para diversos pontos do rio minutos da zona sul copacabana ipanema etc anfitrio bom relacionamento local arborizado contato phone number hidden ou phone number hiddenguest ac | Santa Teresa bairro tradicional do Rio de Janeiro com a melhor noite do Rio, com bares e restaurantes e o tradicional arcos da lapa a 15 minutos até a zona sul e próximo do centro financeiro da cidade , coração do Rio de Janeiro , sejam bem vindos, estamos as ordens obrigado!!! | https://a0.muscache.com/pictures/2fd5b274-cc7e-444f-8417-36096f9df92a.jpg | 4941560 | https://www.airbnb.com/users/show/4941560 | Alberto | 2013-02-02 | Rio de Janeiro, Brazil | Anfitrião bom relacionamento. Local arborizado. Venha conhecer o Rio e se encantar pelas maravilhas que encontrar! | within a few hours | 100% | no_info | f | https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_x_medium | Santa Teresa | 3.0 | 8.0 | ['email', 'phone'] | f | Rio de Janeiro, Brazil | Santa Teresa | -22.91610 | -43.18651 | Private room in home | Private room | 9 | 2 baths | 4.0 | 7.0 | ["Outdoor furniture", "Essentials", "Hammock", "Dedicated workspace", "BBQ grill", "Outdoor dining area", "Smoking allowed", "Washer", "TV", "Iron", "Dryer", "Kitchen", "Wifi", "Cooking basics"] | 150.0 | 2 | 1000 | 2 | 2 | 1000 | 1000 | 2.0 | 1000.0 | t | 30 | 60 | 90 | 349 | 2023-09-22 | 0 | 0 | 0 | no_info | no_info | no_info | no_info | no_info | no_info | no_info | no_info | no_info | f | 3 | 0 | 3 | no_info |
| 497 | 1016312 | https://www.airbnb.com/rooms/1016312 | 2023-09-22 | city scrape | Condo in Rio de Janeiro · 1 bedroom · 1 bed · 1 shared bath | quarto amplo para at pessoas em botafogo prximo ao metr paradas de nibus e demais facilidades ambiente ensolarado e fresco big room for max persons in botafogo close copacabana min and subway station beautiful viewthe spacealugo quarto bem amplo localizado no bairro de botafogo para at pessoas o quarto tem cama de casal wifi poltrona e ventilador o apartamento fica prximo ao metr paradas de nibus supermercados e restaurantes fica a minutos de metr at o estdio do maracan ou de nibus para quem quer curtir praia estamos a menos de minutos de copacabana e leme de nibus ou de ipanema por metr possvel ir caminhando at copacabana rent large bedroom well located in botafogo the room has a double bed wifi chair and fan the apartment is close to the subway bus stops supermarkets and restaurants it is minutes by subway to the estdio do maracan or bus for those who want to | Vizinhança melhor não há! Além de tranquila, tem toda a facilidades de serviços que um bom bairro pode ter. Supermercados, farmácias, restaurantes, transportes e cinemas. | https://a0.muscache.com/pictures/74cc8db8-0060-43d9-9a4c-a6af097a6949.jpg | 5592796 | https://www.airbnb.com/users/show/5592796 | Leonardo | 2013-03-23 | Rio de Janeiro, Brazil | Português/ English/ Español\r\n\r\nOlá, sou um jovem jornalista que vive no Rio, mas que adora viajar por aí e receber o mundo em casa. Curto música, cinema e boas festas - e quem não curte, não é mesmo? Sou muito tranquilo e acredito que nada é tão difícil quanto parece no primeiro momento. Curto uma boa conversa e acho que um bom papo é o início de qualquer boa relação. \r\n\r\nHello, am a young journalist who lives in Rio, but loves to travel around the world and receive at home. I love music, cinema and happy holidays - and who does not like, does not it? I'm very quiet and I believe that nothing is as hard as it seems at first. Short good conversation and I think a good conversation is the beginning of any good relationship.\r\n\r\nHola, soy un joven periodista que vive en Río, pero le encanta viajar por todo el mundo y recibir en casa. Me encanta la música, el cine y felices fiestas - y que no le gusta, ¿no? Soy muy tranquilo y creo que nada es tan difícil como parece en un principio. Buena conversación me gusta y creo que una buena conversación es el principio de toda buena relación. | no_info | no_info | no_info | f | https://a0.muscache.com/im/pictures/user/User-5592796/original/1905fbb9-76ab-4869-9846-16f0caa18240.jpeg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/User-5592796/original/1905fbb9-76ab-4869-9846-16f0caa18240.jpeg?aki_policy=profile_x_medium | no_info | 1.0 | 3.0 | ['email', 'phone'] | t | Rio de Janeiro, Brazil | Botafogo | -22.95408 | -43.18538 | Private room in condo | Private room | 2 | 1 shared bath | no_info | 1.0 | ["Patio or balcony", "Rice maker", "Dedicated workspace", "Hangers", "Coffee maker: drip coffee maker, french press", "Paid parking off premises", "Free street parking", "Elevator", "Coffee", "Cooking basics", "Wine glasses", "Bed linens", "Washer", "Microwave", "Wifi", "Drying rack for clothing", "Dishes and silverware", "Iron", "Fire extinguisher", "Laundromat nearby", "Dining table", "Books and reading material", "Toaster", "Blender", "Essentials", "TV with standard cable", "Refrigerator", "Stove", "Smoking allowed", "Oven", "Kitchen", "Luggage dropoff allowed", "Air conditioning"] | 250.0 | 2 | 10 | 2 | 2 | 10 | 10 | 2.0 | 10.0 | t | 0 | 0 | 1 | 274 | 2023-09-22 | 1 | 0 | 0 | 2015-10-27 | 2015-10-27 | 0.0 | no_info | no_info | no_info | no_info | no_info | no_info | f | 1 | 0 | 1 | 0.01 |
| 498 | 919858 | https://www.airbnb.com/rooms/919858 | 2023-09-22 | city scrape | Earthen home in Rio de Janeiro · ★4.27 · 4 bedrooms · 7 beds · 2 shared baths | the best night of rio minutes by bus to copacabana ipanema and leblon under largo dos guimares santa teresa big home in quiet village very quiet and peaceful come meet us were at your disposal it will be a pleasurethe spacem airy bedrooms separate entrance with tv fan h internet wi fit shared kitchen new and complete kitchen new bathroom in front of the bedroom back yard with tanks so clothes can be washed terrace to dry them laundry on site with special price for guests now with bike for rental to our friends customers barbecue in the backyard location santa teresa lower partnext to largo dos guimares next to commerce supermarkets pharmacies banks restaurants bars and much more with easy access to other parts of the city close to bus stop and taxi near the municipal theater cinelndia arcos da lapa sambdromo etc plenty of transport to various points of rio minute | no_info | https://a0.muscache.com/pictures/ddc3465d-3089-43e1-b008-470a513db5b7.jpg | 4941560 | https://www.airbnb.com/users/show/4941560 | Alberto | 2013-02-02 | Rio de Janeiro, Brazil | Anfitrião bom relacionamento. Local arborizado. Venha conhecer o Rio e se encantar pelas maravilhas que encontrar! | within a few hours | 100% | no_info | f | https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_small | https://a0.muscache.com/im/pictures/user/b6ed3569-2015-4cea-b581-38baf71a9f2b.jpg?aki_policy=profile_x_medium | Santa Teresa | 3.0 | 8.0 | ['email', 'phone'] | f | no_info | Santa Teresa | -22.91611 | -43.18675 | Private room in earthen home | Private room | 9 | 2 shared baths | 4.0 | 7.0 | ["Outdoor furniture", "Essentials", "Hammock", "Dedicated workspace", "Refrigerator", "Backyard", "Outdoor kitchen", "BBQ grill", "Outdoor dining area", "Hangers", "Smoking allowed", "Washer", "TV", "Iron", "Dryer", "Kitchen", "Wifi", "Dishes and silverware", "Cooking basics"] | 150.0 | 2 | 90 | 2 | 2 | 90 | 90 | 2.0 | 90.0 | t | 29 | 59 | 89 | 348 | 2023-09-22 | 11 | 0 | 0 | 2013-08-03 | 2018-03-03 | 4.27 | 4.55 | 4.09 | 4.27 | 4.64 | 4.0 | 4.27 | f | 3 | 0 | 3 | 0.09 |
| 499 | 920059 | https://www.airbnb.com/rooms/920059 | 2023-09-22 | city scrape | Rental unit in Rio de Janeiro · ★4.86 · 1 bedroom · 1 bed · 1 bath | very cosy studio in lower santa teresa very convenient and pleasant locationcentral and quiet but everything in reach of minutes like commerce and night life in santa teresa lapa downtown flamengo airports metr to beaches ipanema copacabana etc very cosy place nice view be most welcome the spaceconjugado studio flat ideal for person or an intimate couple or two maximum good friends or family the flat can be configured with one dblbed or one doublebed plus one extra singlebed in main room living kitchen totally independent private entrance wifi cable internet access mbs small operational living kitchen with new refrigerator oven sink washer and aircondition individual bathroom with in brazil very popular electrical shower system installed according to highest security standards view over the districts of santa teresa lapa and downtowna few minutes away | Santa Teresa is one of the best neighbourhoods of Rio de Janeiro, especially if you are into arts, music and fine restaurants (but there are also more simple and unexpensive ones). Many artists and musicians live in this neighbourhood, which not only for that reason has got a very nice, calming and "alternative" atmosphere. Nightlife offers many restaurants and bars with brazilian life-music, not only in Santa Teresa, but also in the district of Lapa, nearby. The district is full of beautiful views of the surrounding city, since it is uphill. Arquitecture of different periods is also very rich in Santa Teresa, it's very nice walking through the old streets of Santa Teresa, where you may eventually also meet with the "bonde", the last local tram dating back to the 19th century !! | https://a0.muscache.com/pictures/78292786/1c45734c_original.jpg | 4928051 | https://www.airbnb.com/users/show/4928051 | Michael | 2013-02-01 | Rio de Janeiro, Brazil | I'am a film- and music producer, audio engineer, musician and publisher at my own Production Company in Rio de Janeiro; my company is entitled by ANCINE (the governmental brazilian regulatory film agency) to receive international teams for film-productions in Rio and Brazil.\r\n\r\nParallel to my career as a producer I have worked for many years as an international and regional tour manager, speaking fluently portuguese, english and german; my spanish is reasonable.\r\n\r\nI do live in Brazil and Rio de Janeiro for about 30 years now and know the city really very well, enabling me to assist my guests with valuable local information and insider tips.\r\n\r\nIt will be a pleasure to welcome you in one of my two apartments. \r\n\r\nAh ... I almost forgot: I LOVE traveling and have visited over 70 countries in 5 continents, for work and also leisure. | within an hour | 100% | 100% | t | https://a0.muscache.com/im/users/4928051/profile_pic/1383751509/original.jpg?aki_policy=profile_small | https://a0.muscache.com/im/users/4928051/profile_pic/1383751509/original.jpg?aki_policy=profile_x_medium | Santa Teresa | 3.0 | 5.0 | ['email', 'phone', 'work_email'] | t | Rio de Janeiro, Brazil | Santa Teresa | -22.91646 | -43.18087 | Entire rental unit | Entire home/apt | 2 | 1 bath | 1.0 | 1.0 | ["Dedicated workspace", "Freezer", "Hangers", "Mini fridge", "Beach essentials", "Paid parking off premises", "Free street parking", "Cooking basics", "Private entrance", "Free parking on premises", "Shampoo", "Room-darkening shades", "Baking sheet", "Bed linens", "Window guards", "Free washer \u2013 In unit", "Drying rack for clothing", "Dishes and silverware", "Cleaning products", "Ethernet connection", "Hair dryer", "Clothing storage: closet", "Coffee maker", "Iron", "Fire extinguisher", "Laundromat nearby", "Long term stays allowed", "Dining table", "Ceiling fan", "City skyline view", "Books and reading material", "Babysitter recommendations", "Essentials", "Security cameras on property", "Fast wifi \u2013 55 Mbps", "Toaster", "Blender", "Refrigerator", "Stove", "Bikes", "EV charger", "Host greets you", "Smoking allowed", "Hot water", "Oven", "Kitchen", "Window AC unit", "Luggage dropoff allowed", "Extra pillows and blankets", "Bidet"] | 101.0 | 5 | 180 | 5 | 5 | 1125 | 1125 | 5.0 | 1125.0 | t | 22 | 37 | 52 | 107 | 2023-09-22 | 64 | 10 | 1 | 2013-02-14 | 2023-09-11 | 4.86 | 4.83 | 4.76 | 4.97 | 4.98 | 4.73 | 4.86 | f | 2 | 2 | 0 | 0.5 |